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 -------------------------------> Today's Progress : Match Score Prediction using Linear Regression approach with Scikit Learn. Today's Progress : Cancer Remission and Cell Activity Prediction using the Naive Bayes Classifier Approach with Scikit Learn. Today's Progress :Email Spam Filtering Using the Decsion Tree Classifier Approach with Scikit Learn 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(continuous) Day 60: January 04 , 2019 Today's Progress : Object Detection using Single Shot Detection in Computer Vision(complete) Day 61: January 05 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (continuous) Day 62: January 06 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (continuous) Day 63: January 07 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (continuous) Day 64: January 08 , 2019 Today's Progress : MNIST-Handwritten-Digits-Recognition-Using-Deep-Neural-Network (complete) Day 65: January 09 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 66: January 10 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 67: January 11 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 68: January 12 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 69: January 13 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (continuous) Day 70: January 14 , 2019 Today's Progress : CIFAR-10:Object Recognition in Images Using Deep Convolutional Neural Network(DCNN) (complete) Day 71: January 15 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 72: January 16 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 73: January 17 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 74: January 18 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 75: January 19 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 76: January 20 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (continuous) Day 77: January 21 , 2019 Today's Progress : Image Creation with Deep Convolutional GANs(Generative Adversarial Networks) (complete) Day 78: January 22 , 2019 Today's Progress : Packt Computer Vision with Python3 - Digit Recognition (continuous) Day 79: January 23 , 2019 Today's Progress : Packt Computer Vision with Python3 - Digit Recognition (continuous) Day 80: January 29 , 2019 Today's Progress : Packt Computer Vision with Python3 - Digit Recognition (complete) <-------------------------Natural Language Processing ------------------------> Day 81: January 30 , 2019 Today's Progress : Natural Language Processing Core(Tokenizing Words and Sentences, Stemming) Day 82: January 31 , 2019 Today's Progress : Natural Language Processing Core(Lemmatization, stop word removal, part of speech tagging) Day 83: February 1 , 2019 Today's Progress : Natural Language Processing Core(Named Entity Recognition, Building Bags of Word Model) Day 84: February 2 , 2019 Today's Progress : Natural Language Processing Core(Building the TF-IDF Model using NLTK) Day 85: February 3 , 2019 Today's Progress : Natural Language Processing Core(Building the N-Gram Model for both Character and Word using NLTK) Day 86: February 4 , 2019 Today's Progress : Natural Language Processing Core(Latent Semantic Analysis using Scikit Learn and nltk) Day 87: February 5 , 2019 Today's Progress : Natural Language Processing Core(find Synonyms and Antonyms of word using nltk, Word Negation Tracking) Day 88: February 6 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (continuous) Day 89: February 7 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (continuous) Day 90: February 8 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (continuous) Day 91: February 9 , 2019 Today's Progress : Text Classification using cornell sentiment analysis dataset (complete) Day 92: February 10 , 2019
Today's Progress : Twitter Sentiment Analysis (continuous)
Day 93: February 11 , 2019
Today's Progress : Twitter Sentiment Analysis (continuous)
Day 94: February 12 , 2019
Today's Progress : Twitter Sentiment Analysis (continuous)
Day 95: February 13 , 2019
Today's Progress : Twitter Sentiment Analysis (complete)
Day 96: February 14 , 2019 Today's Progress : Text Summarization (continuous) Day 97: February 15 , 2019 Today's Progress : Text Summarization (continuous) Day 98: February 16 , 2019 Today's Progress : Text Summarization (complete) Day 99: February 17 , 2019 Today's Progress : Word2Vec (continuous) Day 100: February 18 , 2019 Today's Progress : Word2Vec (Natural Language Processing) (complete) <-------------------------END ------------------------>