100DaysOfMLCode
In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.
Install / Use
/learn @AmirAli5/100DaysOfMLCodeREADME
100 Days Of ML Code
In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to:
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
Doumentation of my 100DaysMLCode:
https://drive.google.com/file/d/1vjhQAE0qlnCP3avTJGpsgTjQ8zcS6HW7/view
<---------------------------------Machine Learning ------------------------------->
Day 1: November 6 , 2018
Today's Progress : Match Score Prediction using Linear Regression approach with Scikit Learn.
Day 2: November 7 , 2018
Today's Progress : Cancer Remission and Cell Activity Prediction using the Naive Bayes Classifier Approach with Scikit Learn.
Day 3: November 8 , 2018
Today's Progress :Email Spam Filtering Using the Decsion Tree Classifier Approach with Scikit Learn
Day 4: November 9 , 2018
Today's Progress :Heart Rate Barorefexes For Rabbits Prediction using Decision Tree Regression Approach with Scikit Learn
Day 5: November 10 , 2018
Today's Progress :Social_Network_Ads Challenges Prediction using Random Forest Classifier approach with Scikit Learn
Day 6: November 11 , 2018
Today's Progress :Monthly Access Return Challenge Using the Random Forrest Regression Approach with Scikit Learn
Day 7: November 12 , 2018
Today's Progress :Iris datset(UCI) Prediction using the K nearest neighbor(kNN) with Scikit Learn
Day 8: November 13 , 2018
Today's Progress :Breast Cancer Coimbra Dataset (UCI) prediction using Logistic Regression with Scikit Learn
Day 9: November 14 , 2018
Today's Progress :Blood Transfusion Service Center Data Set(UCI) prediction using SVM Classifier approach with Scikit Learn
Day 10: November 15 , 2018
Today's Progress :Delay in AIDS Reporting in England and Wales prediction using SVM Regression Approach with Scikit Learn
Day 11: November 16 , 2018
Today's Progress :Recommendation System for Market Basket Optimisation using Apriori Algorithm (Association Rule)
Day 12: November 17 , 2018
Today's Progress :Recommendation System for Market Analysis using FP-Growth Algorithm(Association Rule) from Scratch in python
Day 13: November 18 , 2018
Today's Progress :Mall Customers dataset prediction for different customer using k-Mean Clusterning in Scikit Learn (continue)
Day 14: November 19 , 2018
Today's Progress :Mall Customers dataset prediction for different customer using k-Mean Clusterning in Scikit Learn (complete)
Day 15: November 20 , 2018
Today's Progress :Mall Customers dataset prediction for different customer using Hierarchical Clustering in Scikit Learn (continue)
Day 16: November 21 , 2018
Today's Progress :Mall Customers dataset prediction for different customer using Hierarchical Clustering in Scikit Learn (complete)
Day 17: November 22 , 2018
Today's Progress :Wine dataset from (UCI) using the PCA technique for Dimensionality Reduction in Scikit Learn (continue)
Day 18: November 23 , 2018
Today's Progress :Wine dataset from (UCI) using the PCA technique for Dimensionality Reduction in Scikit Learn (complete)
Day 19: November 24 , 2018
Today's Progress :Wine dataset from (UCI) using the LDA technique for Dimensionality Reduction in Scikit Learn (continue)
Day 20: November 25 , 2018
Today's Progress :Wine dataset from (UCI) using the LDA technique for Dimensionality Reduction in Scikit Learn (complete)
<---------------------------------Deep Learning ------------------------------->
Day 21: November 26 , 2018
Today's Progress :Churn Modeling Problem using Artificial Neural Network in Keras and Tensorflow (continous)
Day 22: November 27 , 2018
Today's Progress :Churn Modeling Problem using Artificial Neural Network in Keras and Tensorflow (continous)
Day 23: November 28 , 2018
Today's Progress :Churn Modeling Problem using Artificial Neural Network in Keras and Tensorflow (complete)
Day 24: November 29 , 2018
Today's Progress :Single new prediction from Churn Modeling Problem using Artificial Neural Network
Day 25: November 30 , 2018
Today's Progress :Evaluating, Improving and Tuning the ANN in Keras and Tensorflow
Day 26: December 1 , 2018
Today's Progress :Dropout Regularization to reduce overfitting the ANN in Keras and Tensorflow
Day 27: December 2 , 2018
Today's Progress :Adding some more hidden layer to improve and Tuning the ANN in Keras and Tensorflow
Day 28: December 3 , 2018
Today's Progress :Artificial Neural Network Implementation in Tensorflow and Keras(complete)
Day 29: December 4 , 2018
Today's Progress : Image Captioning (cat & dog dataset) Using Convolutional Neural Network in Keras & Tensorflow (continous)
Day 30: December 5 , 2018
Today's Progress : Image Captioning (cat & dog dataset) Using Convolutional Neural Network in Keras & Tensorflow (continous)
Day 31: December 6 , 2018
Today's Progress : Image Captioning (cat & dog dataset) Using Convolutional Neural Network in Keras & Tensorflow (continous)
Day 32: December 7 , 2018
Today's Progress : Adding more convolution layer in cat & dog dataset Using Convolutional Neural Network in Keras & Tensorflow
Day 33: December 8 , 2018
Today's Progress : Making a new Prediction of Single image of Cat and Dog Using Convolutional Neural Network in Keras & Tensorflow
Day 34: December 9 , 2018
Today's Progress : Implementation of Cat & dog dataset Using Convolutional Neural Network in Keras & Tensorflow (complete)
Day 35: December 10 , 2018
Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continous)
Day 36: December 11 , 2018
Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continuous)
Day 37: December 12 , 2018
Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continuous)
Day 38: December 13 , 2018
Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (continuous)
Day 39: December 14 , 2018
Today's Progress : Google Stock Price Prediction(Stanford Paper implementation) using Recurrent Neural Network in Keras and Tensorflow (Visualization)
Day 40: December 15 , 2018
Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (data preprocessing)(continous)
Day 41: December 16 , 2018
Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (building the SOM)(continous)
Day 42: December 17 , 2018
Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (visualize the result)(continous)
Day 43: December 18 , 2018
Today's Progress : Stalog (Australian Credit Approval ) Dataset from UCI using Self Organization Map (complete)
Day 44: December 19 , 2018
Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous)
Day 45: December 20 , 2018
Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous)
Day 46: December 21 , 2018
Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous)
Day 47: December 22 , 2018
Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous)
Day 48: December 23 , 2018
Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (continous)
Day 49: December 24 , 2018
Today's Progress : Recommendation System for Movies in Pytorch using the Boltzmann Machine (complete)
Day 50: December 25 , 2018
Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (continous)
Day 51: December 26 , 2018
Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (continous)
Day 52: December 27 , 2018
Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (continous)
Day 53: December 28 , 2018
Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (architecture step complete) (continous)
Day 54: December 29 , 2018
Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (training step complete) (continous)
Day 55: December 30 , 2018
Today's Progress : Implementation of Stack Auto Encoder in pytorch using the dataset of Grouplens research (testing step complete)
<---------------------------------Computer Vision ------------------------------->
Day 56: December 31 , 2018
Today's Progress : Face, Eye and Smile Detection using OpenCV in Computer Vision(Continuous)
Day 57: January 01 , 2019
Today's Progress : Face, Eye and Smile Detection using OpenCV in Computer Vision(Continuous)
Day 58: January 02 , 2019
Today's Progress : Face, Eye and Smile Detection using OpenCV in Computer Vision(Complete)
Day 59: January 03 , 2019
Today's Progress : Object Detection using Single Shot Detection in Computer Vision(continuou
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