Like Mengz
Like Mengz
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Xgboost model prediction on iris data: 100% accuracy
zhlédnutí 458Před rokem
Xgboost model prediction on iris data: 100% accuracy
Multi-class predictions: naive Bayes model on iris data
zhlédnutí 98Před rokem
Multi-class predictions: naive Bayes model on iris data
Master keywords in 90 seconds: on the way to pro!
zhlédnutí 45Před rokem
Master keywords in 90 seconds: on the way to pro!
Tidymodels in R: run LDA prediction on iris
zhlédnutí 104Před rokem
Tidymodels in R: run LDA prediction on iris
Apply LDA to iris data for multi-class predictions.
zhlédnutí 86Před rokem
Apply LDA to iris data for multi-class predictions.
Difference between shallow copy and deep copy in python
zhlédnutí 37Před rokem
Difference between shallow copy and deep copy in python
Fed is the boss, the stock markets follows.
zhlédnutí 43Před rokem
Fed is the boss, the stock markets follows.
How to use zip to create a dictionary
zhlédnutí 29Před rokem
How to use zip to create a dictionary
Why Intel stock (INTC) is falling hard?
zhlédnutí 130Před rokem
Why Intel stock (INTC) is falling hard?
SPY: RSI below 30, a buying signal?
zhlédnutí 18Před rokem
SPY: RSI below 30, a buying signal?
What is a recursive function ? How to use it?
zhlédnutí 13Před rokem
What is a recursive function ? How to use it?
How to plot a Normal Distribution in Python
zhlédnutí 78Před rokem
How to plot a Normal Distribution in Python
How to plot "Beta Distribution" in Python
zhlédnutí 1KPřed rokem
How to plot "Beta Distribution" in Python
Can consumer sentiment index help understand stock prices ?
zhlédnutí 41Před rokem
Can consumer sentiment index help understand stock prices ?
Can Blackrock save Coinbase ?
zhlédnutí 16Před rokem
Can Blackrock save Coinbase ?
Proportion sampling from 11 sectors in S&P 500 stocks: 'rebound'?
zhlédnutí 22Před 2 lety
Proportion sampling from 11 sectors in S&P 500 stocks: 'rebound'?
Is "ARK" still sinking ?
zhlédnutí 12Před 2 lety
Is "ARK" still sinking ?
China Stocks Rebound? EV and Solar, more than 60% YTD in Solar !
zhlédnutí 27Před 2 lety
China Stocks Rebound? EV and Solar, more than 60% YTD in Solar !
SPY and QQQ Boxplot with ggplot2
zhlédnutí 48Před 2 lety
SPY and QQQ Boxplot with ggplot2
Bitcoin price dropped below $20,000, is it still too risky ?
zhlédnutí 28Před 2 lety
Bitcoin price dropped below $20,000, is it still too risky ?
Are Marijuana ETFs still trending down ?
zhlédnutí 16Před 2 lety
Are Marijuana ETFs still trending down ?
Any winners in ETFs ? sector by sector ?
zhlédnutí 23Před 2 lety
Any winners in ETFs ? sector by sector ?
Sampling from S&P500 stocks in Rstudio
zhlédnutí 276Před 2 lety
Sampling from S&P500 stocks in Rstudio
Sampling from S&P500 stocks : is the energy sector the new winner ?
zhlédnutí 17Před 2 lety
Sampling from S&P500 stocks : is the energy sector the new winner ?
A great book for data science and machine learning beginners !
zhlédnutí 42Před 2 lety
A great book for data science and machine learning beginners !
Five lines python: how to use filter() in python:
zhlédnutí 8Před 2 lety
Five lines python: how to use filter() in python:
Simple random sampling from S&P500 companies
zhlédnutí 29Před 2 lety
Simple random sampling from S&P500 companies
Web scraping S&P 500 companies table from wikipedia
zhlédnutí 110Před 2 lety
Web scraping S&P 500 companies table from wikipedia
Crypto currencies watch with RStudio
zhlédnutí 298Před 2 lety
Crypto currencies watch with RStudio

Komentáře

  • @Garou_no_i_SOLO_you
    @Garou_no_i_SOLO_you Před 4 měsíci

    U mean tech from the strongest battle ground from Roblox

  • @davidwalden8732
    @davidwalden8732 Před 5 měsíci

    Thanks for this video! I was totally stuck trying to complete Exercise 4.3 in "Computational Physics" by Mark Newman. Never having completed Calc 1, I was clueless. This helped me complete the exercise and post my solution to my question on stackoverflow in which I attributed the idea to your video. regards!~saucerdesigner

  • @juan-3350
    @juan-3350 Před rokem

    Nice programming

  • @rqtcx
    @rqtcx Před rokem

    how would you add all of those scores up

    • @likemengz9446
      @likemengz9446 Před rokem

      define a counter, then sum all the numbers...within the loop...

  • @mage1over137
    @mage1over137 Před rokem

    Tips on using R, use python

    • @likemengz9446
      @likemengz9446 Před rokem

      use R in python: rpy2, while in R using python: reticulate! cheers.

  • @ollicron7397
    @ollicron7397 Před rokem

    The best tip for R is to not use it anymore because it is quickly dying over better alternatives.

    • @likemengz9446
      @likemengz9446 Před rokem

      If you use it, learn it, if not why bother? Everyone thought C or Java would die sooner or later, the fact is that neither did! Again, if you use it, learn it!

  • @bismillahi_arrahmani_arrahim

    Are you doing this on mobile phone 📱? If 'yes' : please what's the name of the app Else: thanks for sharing

    • @likemengz9446
      @likemengz9446 Před rokem

      i am using macbook, screen recording, keep it about 8 x 12 (W x H) inches window, so it can fit a mobile/vertical screen. cheers

    • @bismillahi_arrahmani_arrahim
      @bismillahi_arrahmani_arrahim Před rokem

      @@likemengz9446 oh great, in googling for answers i found out a way to use jupyter on Android with pydroid 3 it cool.

  • @bernardokp
    @bernardokp Před rokem

    Nice and simple, well done!

  • @R3nzhe
    @R3nzhe Před rokem

    Music?

  • @thorndupay1932
    @thorndupay1932 Před rokem

    *Promosm*

  • @bryantpage2949
    @bryantpage2949 Před rokem

    WHAT!

  • @davidkeck1892
    @davidkeck1892 Před rokem

    Love R for stats

  • @killa14108
    @killa14108 Před 2 lety

    Do you not have to shuffle the rows?

    • @likemengz9446
      @likemengz9446 Před 2 lety

      When the data partition is created, such as 75/25 for training/test data sets, it is 'randomly' sampled or shuffled. It's similar to 'use sample()'.

  • @gjknm
    @gjknm Před 2 lety

    This is amazing. can u share the codes i could practice.

    • @likemengz9446
      @likemengz9446 Před 2 lety

      Sorry for late replying, here is the link: github.com/PyRPy/TraderZone/blob/master/StocksPred/SPY_ARIMA.Rmd I also added the link in the description. Many thanks.

  • @jodi9434
    @jodi9434 Před 2 lety

    What is the fpc? why do you use the rep function with it?

    • @likemengz9446
      @likemengz9446 Před 2 lety

      finite population correction; need to duplicate the corrections.

  • @mangalanimakananisa6800

    What is the preferred text book you recommend for sampling in R I should consider buying?

    • @likemengz9446
      @likemengz9446 Před 2 lety

      Sampling, 3rd Edition, Steven K. Thompson, would be a good one. Complex survey in R faculty.washington.edu/tlumley/old-svybook/index.html, would be helpful too.

    • @mangalanimakananisa6800
      @mangalanimakananisa6800 Před 2 lety

      @@likemengz9446 thankyou very much

  • @AlliThePigWhisperer
    @AlliThePigWhisperer Před 2 lety

    PCA is an unsupervised exploratory analysis method. Using an unsupervised method like this and then trying to run a supervised logistic regression model will not yield reliable results. Try reducing dimensions using partial least squares or some other supervised method, then continue with the logistic regression!

  • @ankurmishra4307
    @ankurmishra4307 Před 3 lety

    Sir your video quality needs to be improved. Edit: After 15 seconds its fine. Thank you.

  • @simoneanza5850
    @simoneanza5850 Před 3 lety

    hi thank you for the video, could you show us if that works in your machine? is it on windows?

    • @likemengz9446
      @likemengz9446 Před 3 lety

      Windows 10, for tensorflow in Rstudio, need to install python first.

  • @juank46983
    @juank46983 Před 4 lety

    Could you help: How can I assign the accuracy to a variable, like a=accuracy or a = binary_accuracy. This is part of the code of the neural network: model = Sequential() model.add(Dense(48, input_dim=48, activation='relu')) model.add(Dense(24, activation='relu')) model.add(Dense(2, activation='sigmoid')) model.compile(loss='mean_squared_error', optimizer='adam', metrics=['binary_accuracy']) model.fit(training_data, target_data, epochs=1000) scores = model.evaluate(training_data, target_data) "training_data, target_data are arrays" Result of evaluation: binary_accuracy: 0.5000 binary_accuracy: 50.00%

    • @likemengz9446
      @likemengz9446 Před 4 lety

      you could use : accuracy_score(), such as 'accuracy_score(y_test, y_pred)', and assign it to a variable. here is a template for your reference : github.com/PyRPy/ML_Py_Templates/blob/master/DataCamp_Templates_Py/Template_Scikit_Learning_Keras.ipynb Hope this would be helpful.

  • @andreeriosquesnay5117

    Thank you very much for your explanation. Greetings from Peru !!!

  • @likemengz9446
    @likemengz9446 Před 4 lety

    code is here: github.com/PyRPy/stats_r/tree/master/ReticulatePy