DATA NERDS, I'M BACK!!!!! 🤓 🙌🏼 Thank y'all so much for your kind words and support during my time away; I felt beyond loved by the data nerd community! Although I had to take off due to a family emergency, I am now more recharged than ever to get back on the CZcams grind! More nerd content to come; stay awesome, my friends 🐼
@After Work I use an M1 Max Macbook Pro 14" 👈🏻 completely overkill for data analytics... I recommend the M1 Air (or M2) if looking at macbooks as they have all you need
I seriously thought that Machine Learning was this monolithic subject that only advanced programmers with CS degrees could do. This video completely took away the scariness of it, and now I am going to learn it. Thanks!
Machine Learning is pure STATISTICS. I have a degree in Statistics and one of my best topics was Regression and Correlation Analysis. But nobody told me it was a major aspect of Machine Learning! I didn't even know Machine Learning was a thing 5-7 years ago!!! 😭😭😂😂🤣🤣😅
@@ThisisDikky bro what would you recommend for someone who is studying stats rn. I am trying to learn stats pandas sql excel and so on.. but so many people say projects are important but i feel like i dont know stats for make a data analysis project (im currently undergrad student in my first year as a stats major)
@@keepcontinue Ok. Data Science/Machine Learning is statistics heavy. At least you should know basic descriptive statistics, probability distribution, and Correlation & Regression analysis. But a good place to start learning data analytics is Excel, then SQL, followed by either Power or Tableau (or both, which I recommend), then Python for Data Science/Analysis. You'll need to have good knowledge of Statistics and statistical concepts to do Data Science. Projects are very important. As you learn a tool, practice it by doing a project to build your portfolio. Projects help you put into practice what you have already learnt.
Yay new vid and welcome back!! 🥳🥳 I'm so amazed at how much detail and information you packed in this crash course video, Luke! Love everything about it (even the mumbling part 🤣)
I use to be confused by the phrase "machine learning". I then figured out it was basically regression with a few extra bells and whistles (k-folds is my go to).
I have a degree in Statistics and one of my best topics was Regression and Correlation Analysis. But nobody told me it was a major aspect of Machine Learning! I didn't even know Machine Learning was a thing 5-7 years ago!!! 😭😭😂😂🤣🤣😅 Machine Learning is pure STATISTICS.
Awesome video, Luke! 👍 Packed with so much valuable content. I could not agree more with you - SQL & Excel are essential. Yet, for some data problems, (basic) Machine Learning algorithms are a great addition to a Data Analyst's toolbelt.
There is a non-native Excel add-in called RegressIt or RegressItLogistic that can handle more machine learning models beyond the Data Analysis tool pack in Excel. It's quite awesome as you can do EDA and also plot a confusion matrix.
I am currently working through my Data Analytics Certificate for Google. I plan to be done by end of September/ early October. I have subscribed to your channel because I am wanting to switch careers once my certificate is complete. Thank you so much for your advice and information.
Very good video. For someone that knows data analytics and a bit of statistics these videos are absolutely great. They are fun to watch, they teach you something interesting and don’t feel like a chore
Hey Luke, I just recently got my first job as a data analyst! I'm loving the company and the people so far, but I'm having a hard time understanding some more nuanced things about the data my company uses. It's all coming to a head in my first project that I just got started on. Do you think huge feelings of overwhelm are normal to new analysts? Do you have any tips for someone just starting out? Thanks for all of the content, glad to see you back :)
the best video actually I was trying to understand this field and thanks to you, you really helped me to get more. I took marketing analytics which was provided by meta on the Coursera platform. I wish I had got this advice before starting that course
Hey man great videos . but please just a request make the video more detailed like how you got the data from linkdlin, How you load and get libraries, show a proper process of what you are doing .
Hey Luke, as always thank you for your insightful videos. They've been very helpful during my journey with Data Analytics. Do you happen to have any videos or content regarding ChatGPT and open AI? With things like "Prompt Engineering" and the potential growing need for what prompt engineering will allow us to do with Open AI.
Linear regression is extremely important in business and multiple linear regression solves a LOT of the issues where linear regression is not good enough. Forming a solid basis with those is great.
I have lots of experience in statistics but am just starting to learn about machine learning. When you talk about linear regression as a machine learning model, is this the same as a basic linear model from an intro stats class? I've never heard linear regression referred to as supervised learning models and I just want to make sure I understand the ML vernacular.
Machine Learning is pure STATISTICS. I have a degree in Statistics and one of my best topics was Regression and Correlation Analysis. But nobody told me it was a major aspect of Machine Learning! I didn't even know Machine Learning was a thing 5-7 years ago!!! 😭😭😂😂🤣🤣😅
I also have a couple degrees in stats but long before ML was popular. I think we even had a couple classes on the topic but my takeaway was ML is just regression with a fancy label.
I’d focus on the business problem and any change management necessary…and the algorithms last. I’d also focus on getting out of excel and into Sheets as fast as possible.
Awesome content Luke, as always👏 I couldn't help but notice your headphone, could you tell me the model and brand? Definitely seems a productive tool than improve your focus and work time.
As always, amazing content! Thanks for sharing. I have a question, which is the idle you wer using in your video that allowed you to use python and SQL? Is it Visual Studio? I have transitioned to data analyst this year thanks to your content, and after going throught the google data analyst specialization, I mainly used R for everything. But now, with this course of Andrew Ng, I am seriously considering going full Python.
Hi Luke. I enjoyed your video thank you for amazing contents. I’m an IT student and it’s been a while that I work on neural networks, for example in my thesis, I’m using PyTorch library to classify some nodes in a large social network dataset. I had an intel MacBook Pro and I sold it. now I wanna buy a MacBook for doing so. As you know Apple has a back to school promotion and I could buy a 14-inch MacBook Pro or an iPad Pro besides an M2 MacBook air. Which one should I go with? The 14-inch MacBook pro or the combo (iPad +MacBook air) If I choose the M2 MacBook air is it need to upgrade the ram to 16gb or the base model would be enough. Thank you again.
It's great however i'm sad that you don't mention about statistics significance. The model means nothing if r^2 is up to the roof but variables are insignificant
This is a great point; I was going to go next into this; but wanted to stay high level as this video was primarily aimed for those completely new to the field. Maybe in a followup video i'll cover this
Thanks for your concern Lộc, but I'm sticking with my explanation here. The goal of this video was to introduce new data analysts to how one can check the validity of their models with a simple example.
Hey Luke, great video as always: information, script, post-production. What will you choose: Mac Book Pro 14' M1 Max 64GB or Lenovo T14 Gen 3 Intel i7 with 48GB RAM? Please consider that you would like access to Power Query, Power BI, and other staff available only for Windows. Would you get used to running a Virtual Machine all the time just to stay with mac os or go with Windows?
I feel the safe bet is to go with the Lenovo that has Windows... with so much reliance on windows for your job in this case... go with a windows machine.
Excellent video, excellent content, excellent speaker, I really look forward you talk about "difference between python - scikit learn, panada, pytorch", " Feature engineering" or "explanatory factor analysis" if any chance, you are my best CZcamsrs in Data analyst n ML 💯💯💯💯💯💯💯💯💯
Could it be possible to share the dataset that you used for this video, or any one similar to it? Also I would love to have a video about combining python and power bi. I’m currently doing lot of formation about these two tools, and would love to see use cases in which se can use them both, alongside sql and excel for the data cleaning/eda part
Hi, thanks for your video as always. A bit off-topic but... Do you have any examples of how you used your data analyst skills outside your work? Maybe some new idea for a new episode😁?
Hey Luke, I'm not from a tech background but i would like to move to Tech. Can you please guide me on this. I know there are lots of videos about it but I don't know where to start. Please help me out on this.
Hey nerd lord! I love your channel and how you teach your experiences, do you have any suggestions for mobile developing or flutter channel like yours? Thank you for your videos ! And also what do you suggest data analyst or mobile developer for an foreigner to coding like me without any mentors or helper around me?
Thanks Kaan, yeah checkout ForrestKnight's channel, he has contact around software development! And the choice of what to choose is really up to your intrest; both are great options
Hey luke i want to know your opinion I want to learn Machine data and data science about Ai Is it good to buy MacBook air m1 256g 8gb or buy another windows laptops in this range of macbook air m1 basic model price?
Yeah, I'm actually working on a project to make this data available more easily... right now it's just a ton of csv's; hoping to make it into a database to share
I think excel and sql are core beginner skills to focus on; but as far as length of time it really depends on your learning ability and past experience
#LukeBarousse Please brother make a video that how to do preparation for FAANG OR MAANG Companies to get job as a Data Analyst job(Please make video as soon as Possible)
@@LukeBarousse So if I get course on coursera and get the certificate of google analyst professional certification and hope to get a job? On entry level?
This is nowhere near close what a real Data Analyst/Scientist would do with machine learning, this is like a toy example of machine learning 101, a waste of time
DATA NERDS, I'M BACK!!!!! 🤓 🙌🏼
Thank y'all so much for your kind words and support during my time away; I felt beyond loved by the data nerd community! Although I had to take off due to a family emergency, I am now more recharged than ever to get back on the CZcams grind!
More nerd content to come; stay awesome, my friends 🐼
welcome back !
@@AZisk Thank you, Alex!!
what macbook do you use now?
Welcome back Data Nerd!!!
@After Work I use an M1 Max Macbook Pro 14" 👈🏻 completely overkill for data analytics... I recommend the M1 Air (or M2) if looking at macbooks as they have all you need
I like your emphasis on Excel and SQL as basis for everything. They rule the world. Complex SQL queries are absolutely mind-breaking.
100% agree. I often have to go through SQL queries that are in excess of 300-400 lines...
The worst thing is that those complex queries aren't quite common in the real world
I seriously thought that Machine Learning was this monolithic subject that only advanced programmers with CS degrees could do. This video completely took away the scariness of it, and now I am going to learn it. Thanks!
Heck yeah 🙌🏼 J.P. your comment made my day!
Machine Learning is pure STATISTICS. I have a degree in Statistics and one of my best topics was Regression and Correlation Analysis. But nobody told me it was a major aspect of Machine Learning! I didn't even know Machine Learning was a thing 5-7 years ago!!! 😭😭😂😂🤣🤣😅
@@ThisisDikky bro what would you recommend for someone who is studying stats rn. I am trying to learn stats pandas sql excel and so on.. but so many people say projects are important but i feel like i dont know stats for make a data analysis project (im currently undergrad student in my first year as a stats major)
@@keepcontinue Ok. Data Science/Machine Learning is statistics heavy. At least you should know basic descriptive statistics, probability distribution, and Correlation & Regression analysis.
But a good place to start learning data analytics is Excel, then SQL, followed by either Power or Tableau (or both, which I recommend), then Python for Data Science/Analysis.
You'll need to have good knowledge of Statistics and statistical concepts to do Data Science.
Projects are very important. As you learn a tool, practice it by doing a project to build your portfolio. Projects help you put into practice what you have already learnt.
LUKE IS BACK 🙇🏻♀️🙇🏻♀️ YAY also the highest quality as usual 💙
Aw thank you Tina! 🙇🏼♂️
Yay new vid and welcome back!! 🥳🥳 I'm so amazed at how much detail and information you packed in this crash course video, Luke! Love everything about it (even the mumbling part 🤣)
Thank you so much, Thu! Hope you're enjoying your time in Vietnam 🙌🏼
I use to be confused by the phrase "machine learning". I then figured out it was basically regression with a few extra bells and whistles (k-folds is my go to).
lol when i realized that ive been doing pretty much the same thing in R for years as part of my stats degree i was like damn
I have a degree in Statistics and one of my best topics was Regression and Correlation Analysis. But nobody told me it was a major aspect of Machine Learning! I didn't even know Machine Learning was a thing 5-7 years ago!!! 😭😭😂😂🤣🤣😅
Machine Learning is pure STATISTICS.
Amazing explanation and so fast too. Very impressed.
Thanks Avery!
Awesome video, Luke! 👍 Packed with so much valuable content. I could not agree more with you - SQL & Excel are essential. Yet, for some data problems, (basic) Machine Learning algorithms are a great addition to a Data Analyst's toolbelt.
Thanks for checking this out, Sven! And thanks for sharing this perspective! 🙌🏼
Just came here to say that i love how you do the gestures with your hand hahaha thanks for the video luke, very enlightening!!
Ha! Thank you Camila!
MAN your light set up is awesome.
There is a non-native Excel add-in called RegressIt or RegressItLogistic that can handle more machine learning models beyond the Data Analysis tool pack in Excel. It's quite awesome as you can do EDA and also plot a confusion matrix.
Thanks for sharing this!
Awesome video Luke. Bring me back memories from grad school when I was working on machine learning projects.
Ha! Hopefully they were positive memories! 😜
As always the video and audio quality is drool worthy - so happy you’re back! 🙌🏼
Aw thank you so much Miki! Glad to be back! 🙌🏼
I am currently working through my Data Analytics Certificate for Google. I plan to be done by end of September/ early October. I have subscribed to your channel because I am wanting to switch careers once my certificate is complete. Thank you so much for your advice and information.
Good luck in your studies, Amber!
Very good video. For someone that knows data analytics and a bit of statistics these videos are absolutely great. They are fun to watch, they teach you something interesting and don’t feel like a chore
Thanks my dude, trying to make data anlaytics a little bit more fun! 🙌🏼 I appreciate the kind words!
btw, low R2 basically means you are better off using the mean instead of the model.
Or try a different ML model.
Hey Luke, I just recently got my first job as a data analyst! I'm loving the company and the people so far, but I'm having a hard time understanding some more nuanced things about the data my company uses. It's all coming to a head in my first project that I just got started on. Do you think huge feelings of overwhelm are normal to new analysts? Do you have any tips for someone just starting out? Thanks for all of the content, glad to see you back :)
Hey Cameron, this is def a normal feeling of new analysts. You are not alone my friend. Let me see what I can do on a video on this topic!
Please, When did you start learning?
How did you prepare to get this job?
Another great video Luke, this gave me lots of info on ML. Keep up good work always appreciate new content
Aw heck yeah, thanks for the motivation Mohammad!
I just wanted to let you know that the soundtrack used when explaning the linear regression model was awesome, I really felt it hahah
ha! thanks for noticing Leandro... i've been experimenting with different background songs lately!
Really nice job. I did so stuff with MIDI/DAW/soft banks wayyy back in like 99/00 in college and was ok at it. I bought soft soft last
You summed up machine learning better in 5 minutes than my last class did in 4 weeks.
Ha! Thanks Leslie!
I hear you went to Ole Miss. I'll watch your channel anyway. Lol, Hail State!
Hotty Toddy until Thanksgiving 😊
@@lesliepearman5124 Ha! HYDR!!
the best video actually I was trying to understand this field and thanks to you, you really helped me to get more.
I took marketing analytics which was provided by meta on the Coursera platform. I wish I had got this advice before starting that course
Thank you so much for this Ahmed!
This was SO informative! Thank you!
Hey man great videos . but please just a request make the video more detailed like how you got the data from linkdlin, How you load and get libraries, show a proper process of what you are doing .
What a way to simplify
Hey Luke, as always thank you for your insightful videos. They've been very helpful during my journey with Data Analytics.
Do you happen to have any videos or content regarding ChatGPT and open AI? With things like "Prompt Engineering" and the potential growing need for what prompt engineering will allow us to do with Open AI.
nothing on that topic... yet; very interesting field
Linear regression is extremely important in business and multiple linear regression solves a LOT of the issues where linear regression is not good enough. Forming a solid basis with those is great.
very interesting video as usual Luke. great stuff! :)
Thanks, Valentin!
Great video! Though wondering why R isn’t mentioned…
It is an option, though it isn't as widely used or accepted as Python
Welcome back Luke..... How's Alex doing😂😂😂
Ha! Thanks Pavan!
If I became a Data Analyst, could I work from anywhere in the world with just a laptop?
really depends on the company that you get a job with
Thank you for helping us with interesting content
My pleasure!
I have lots of experience in statistics but am just starting to learn about machine learning. When you talk about linear regression as a machine learning model, is this the same as a basic linear model from an intro stats class? I've never heard linear regression referred to as supervised learning models and I just want to make sure I understand the ML vernacular.
Yeah very much the same, linear regression is commonly covered in statistics class; AND is a method implemented in supervised machine learning
Thanks!
Machine Learning is pure STATISTICS. I have a degree in Statistics and one of my best topics was Regression and Correlation Analysis. But nobody told me it was a major aspect of Machine Learning! I didn't even know Machine Learning was a thing 5-7 years ago!!! 😭😭😂😂🤣🤣😅
I also have a couple degrees in stats but long before ML was popular. I think we even had a couple classes on the topic but my takeaway was ML is just regression with a fancy label.
I’d focus on the business problem and any change management necessary…and the algorithms last. I’d also focus on getting out of excel and into Sheets as fast as possible.
I loved the video! Glad you are back!
Get outta Excel and into the Sheets!! Love it!
Awesome content Luke, as always👏
I couldn't help but notice your headphone, could you tell me the model and brand? Definitely seems a productive tool than improve your focus and work time.
Thanks for the positive vibes my dude and they are the Airpods Max.
As always, amazing content! Thanks for sharing. I have a question, which is the idle you wer using in your video that allowed you to use python and SQL? Is it Visual Studio? I have transitioned to data analyst this year thanks to your content, and after going throught the google data analyst specialization, I mainly used R for everything. But now, with this course of Andrew Ng, I am seriously considering going full Python.
I use VS code for my IDE, it's so versatile with different tools; although not so great with SQL it is usable. Good luck with the course Matias!
Great video! Thank you!
Why do you need python for basic linear regression?
Nice video Luke! I have a data nerd friend...ill have to point him to your videos. ; )
🤣 Miss you Derik! 😘 We need to shred the pow pow again this winter
Thank you for your help, please can you do a video on “ how I use python as a data analyst “
Heck yeah! Will be making it the near future
Hi Luke. I enjoyed your video thank you for amazing contents. I’m an IT student and it’s been a while that I work on neural networks, for example in my thesis, I’m using PyTorch library to classify some nodes in a large social network dataset. I had an intel MacBook Pro and I sold it. now I wanna buy a MacBook for doing so. As you know Apple has a back to school promotion and I could buy a 14-inch MacBook Pro or an iPad Pro besides an M2 MacBook air.
Which one should I go with? The 14-inch MacBook pro or the combo (iPad +MacBook air)
If I choose the M2 MacBook air is it need to upgrade the ram to 16gb or the base model would be enough.
Thank you again.
it's really up to your need. Mac Air is more than enough
as always, useful stuff.
If you keep adding variables to the linear regression, the R-squared should tend to decrease, right?
It's great however i'm sad that you don't mention about statistics significance. The model means nothing if r^2 is up to the roof but variables are insignificant
This is a great point; I was going to go next into this; but wanted to stay high level as this video was primarily aimed for those completely new to the field. Maybe in a followup video i'll cover this
hey Luke how are you?? we have been waiting for your video😃😃.hope you will make consistance in making video for us..🥰🥰
I am about to take my intro into programming next semester, is there anything I should take prior to get me a head start? Thanks
That is not how R2 is used, it is used to calculate to variation of prediction compare to variation of grouth truth, please recheck it.
Thanks for your concern Lộc, but I'm sticking with my explanation here. The goal of this video was to introduce new data analysts to how one can check the validity of their models with a simple example.
Could a hybrid deep - machine learning desktop computer be built ? or better to use two and have them run separately or together ?
Hey Luke, great video as always: information, script, post-production.
What will you choose:
Mac Book Pro 14' M1 Max 64GB or Lenovo T14 Gen 3 Intel i7 with 48GB RAM? Please consider that you would like access to Power Query, Power BI, and other staff available only for Windows. Would you get used to running a Virtual Machine all the time just to stay with mac os or go with Windows?
I feel the safe bet is to go with the Lenovo that has Windows... with so much reliance on windows for your job in this case... go with a windows machine.
@@LukeBarousse Thanks Luke and stay safe!
Excellent video, excellent content, excellent speaker, I really look forward you talk about "difference between python - scikit learn, panada, pytorch", " Feature engineering" or "explanatory factor analysis" if any chance, you are my best CZcamsrs in Data analyst n ML 💯💯💯💯💯💯💯💯💯
Is a Learning Machine the exact same as Machine Learning ?
Is knowledge of statistics or machine learning required for your job as a data analytic?
Could it be possible to share the dataset that you used for this video, or any one similar to it?
Also I would love to have a video about combining python and power bi. I’m currently doing lot of formation about these two tools, and would love to see use cases in which se can use them both, alongside sql and excel for the data cleaning/eda part
Let me see what I can do about sharing this dataset and those video recommendations! Thanks for the ideas
I see you read the comments. So i want to ask you, which model is better and can be used most? Lightbgm or SKLEARN models?
I don't have much experience with lightbgm... I use mostly sklearn
Hi, thanks for your video as always. A bit off-topic but... Do you have any examples of how you used your data analyst skills outside your work? Maybe some new idea for a new episode😁?
I like this video idea!!
@@LukeBarousse Great! I will wait for that one impatiently 👍
@LukeBarousse Please brother make a video that how to do preparation for FAANG OR MAANG Companies to get job as a Data Analyst job
Thanks
Pretty hefty and Deep content! If I went to high school in Mississippi will I still know enough math?
Thank you to my number one subscriber!
🤣 P.S. I had to resort to CZcams to learn Math
Very interesting 🔥📊😳
Hey Luke, I just want your opinion on SAS. Like job opportunities & future growth .
Let me see what I can do on this topic!
@@LukeBarousse Looking forward to it. Thank you.
Hi I'm 36 years old and start with everything you can find a job after a boot camp as a career changer ?
Hey Luke, I'm not from a tech background but i would like to move to Tech. Can you please guide me on this. I know there are lots of videos about it but I don't know where to start. Please help me out on this.
Hey nerd lord! I love your channel and how you teach your experiences, do you have any suggestions for mobile developing or flutter channel like yours? Thank you for your videos ! And also what do you suggest data analyst or mobile developer for an foreigner to coding like me without any mentors or helper around me?
Thanks Kaan, yeah checkout ForrestKnight's channel, he has contact around software development! And the choice of what to choose is really up to your intrest; both are great options
@@LukeBarousse Thank's man! Really appriciate it
Hey luke i want to know your opinion
I want to learn Machine data and data science about Ai
Is it good to buy MacBook air m1 256g 8gb or buy another windows laptops in this range of macbook air m1 basic model price?
I made a video on this: czcams.com/video/U4vh2EClJic/video.html
great video!
Very true! May make a video n this topic!
yo luke can you give us your opinion about no_sql
I have a video on how I use Sql! 🙌🏼 Overall tho I don't use No_SQL as a data analyst
@Luke possible to get the code and data you used here?
Yeah, I'm actually working on a project to make this data available more easily... right now it's just a ton of csv's; hoping to make it into a database to share
Please, how long do you think one should focus on excel and sql if they just learned python?
I think excel and sql are core beginner skills to focus on; but as far as length of time it really depends on your learning ability and past experience
@@LukeBarousse Okay. Thanks
If you have future in a variable, you don’t need to predict it. You need the past to predict the future.
this is a great video and just subscribed!! how much coffee do you drink per day btw? :D
A little bit too much... my doctor is not happy
#LukeBarousse Please brother make a video that how to do preparation for FAANG OR MAANG Companies to get job as a Data Analyst job
#LukeBarousse Please brother make a video that how to do preparation for FAANG OR MAANG Companies to get job as a Data Analyst job(Please make video as soon as Possible)
What app are you using to run the machine learning code?
I run python in VS code
How you Connect sql to your Excel in mac?
I run excel in a virtual machine on my mac (using Parallels with Windows). It has full Power Query functionality this way.
is he using VSC?
Yeah, my IDE of choice for Python
Epic video
MACHINE LEARNING
I saw you use it in your recent project with Alex the Analyst so I thought i'd check it out 😜
Hope all is ok. I relied on Alex the Analyst while you were gone. 😉
Heck yeah! A very reliable source, love me some Alex the Analyst!
Can I ask something?
Can anyone get job at data analyst if he/she has skills and knowledge about it but recently finished 12th ?
I'd have to investigate this further; not saying it's not possible, but I haven't heard of many cases of this.
@@LukeBarousse So if I get course on coursera and get the certificate of google analyst professional certification and hope to get a job? On entry level?
Can someone having a degree in Artificial Intelligence jump into Data Analysts field🤔?
I feel they could
I would wager R language as the best there is for Machine Learning.
That's good to know, I need to explore R more for this; i've only used it for basic analytics
Thanks! Pretty "deep" vídeo 😅
🤣
Sick
I learn data analysis my self.
How i use ML as a data analyst: i dont
Last!
as data analyst honestly, machine learning is not as good, we still need human brain to think
I can appreciate this, thanks for sharing this perspective!
Good god, these videos are so over-produced that theyre cringe as hell. Still quality and useful content though, thanks!
This is nowhere near close what a real Data Analyst/Scientist would do with machine learning, this is like a toy example of machine learning 101, a waste of time
Just make money
just so you know, scrapping LinkedIn data is illegal LOL
I'm aware of the legality of it; I made a whole other video on it
Kindly check your Instagram. I sent a message to you Luke