100 Days of Machine Learning Coding as proposed by Siraj Raval
Get the datasets from here .
Data PreProcessing | Day 1
Check out the code from here .
Simple Linear Regression | Day 2
Check out the code from here .
Multiple Linear Regression | Day 3
Check out the code from here .
Logistic Regression | Day 4
Check out the code from here .
Logistic Regression Implementation | Day 5/6
Check out the code from here .
Learning & Practicing Linear Algebra | Day 7-16
Learning Matplotlib & Seaborn for Data visualisation | Day 17
Check out the code from here .
Learning Plotly and Cufflinks | Day 18-20
Check out the code from here .
Learning Geographical plotting using choropleth | Day 21-23
Check out the code from here .
Linear Regression Project | Day 24 Check out the code from here .
Logistic Regression Project | Day 25 Check out the code from here .
Check out the code from here .
Learning Decision Tree & Random Forest | Day 27
Check out the code from here .
Check out the code from here .
Learning KMeans clustring | Day 29
Check out the code from here .
Recommender System Project | Day 30
Check out the code from here .
Check out the code from here .
Tensorflow 1.0 basics | Day 32
Check out the code from here .
Tensorflow prediction with Estimator | Day 33
Check out the code from here .
Handwritten number recognizer (Using Tensorflow) | Day 34
Check out the code from here .
Handwritten number recognizer (Using Keras) | Day 35
Check out the code from here .
Tensorflow project exercise | Day 36 Check out the code from here .
Politics Exercise using Keras | Day 37
Check out the code from here .
Keras CNN Project | Day 38
Check out the code from here .
Keras RNN Project | Day 39
Check out the code from here .
KNN Exercise Project | Day 40
Check out the code from here .
Check out the code from here .
Check out the code from here .
Q-learning Project | Day 43
Check out the code from here .
Transfer learning Project | Day 44
Check out the code from here .
ML Workflow Project Part 1 | Day 45
Check out the code from here
ML Workflow Project Part 2 | Day 46 Check out the code from here
ML Workflow Project Part 3 | Day 47 Check out the code from here
PCA Example Project | Day 48
Check out the code from here .
K-Fold Cross Validation Example | Day 49
Check out the code from here .
Find Top Pages of a Website Example | Day 50
Check out the code from here .
Digging Deeper in Numpy library | Day 51-52
Check out the chapters:
Computation on NumPy Arrays: Universal Functions .
Aggregations: Min, Max, and Everything In Between .
Computation on Arrays: Broadcasting .
Comparisons, Masks, and Boolean Logic .
Fancy Indexing .
Structured Data: NumPy's Structured Arrays .
Digging Deeper in Pandas library | Day 53-54
Check out the chapters:
Data indexing and selection .
Operating on data in pandas .
Handling missing data .
Hierarchial indexing .
Combining datasets: Concat and Append .
Combining datasets: Merge and Join .
Aggregation and grouping in pandas .
Pivot tables in pandas .
Neural network with fashion mnist data and Keras | Day 55
Check out the code from here .
Pandas profiling library example | Day 56
Check out the code from here .
Deep dive in Matplotlib library | Day 57 Check out the code from here .
Deep dive in Seaborn library | Day 58 Check out the code from here .
Final project on mammographic masses dataset | Day 59-60
Check out the code from here .
Learning about slicing and selection in Numpy | Day 61 Check out the code from here .
Spark dataframe exercise project | Day 62
Check out the code from here .
Linear Regression Example in Spark | Day 63 Check out the code from here .
Linear Regression project in Spark | Day 64 Check out the code from here .
Linear Regression Consulting project in Spark | Day 65 Check out the code from here .
Logistic Regression example in Spark | Day 66 Check out the code from here .
Logistic Regression project in Spark | Day 67 Check out the code from here .
Logistic Regression consulting project in Spark | Day 68 Check out the code from here .
D Tree, Random Forest & Gradient Boosting Example in Spark | Day 69 Check out the code from here .
Decision Tree, Random Forest & Gradient Boosting Project in Spark | Day 70 Check out the code from here
Tree models Consulting Project in Spark | Day 71 Check out the code from here .
Kmeans clustering example in Spark | Day 72 Check out the code from here .
Kmeans clustering project in Spark | Day 73 Check out the code from here .
Kmeans clustering consulting project in Spark | Day 74 Check out the code from here .
Telecom customer churn prediction project in Spark | Day 75
Check out the code from here .
Recommender system in Spark | Day 76 Check out the code from here .
Renewable energy prediction project in Spark | Day 77 Check out the code from here .
NLP project in Spark | Day 78 Check out the code from here .
Online Retail data clustering and analysis project | Day 79 Check out the code from here
Superstore dataset analysis project | Day 80 Check out the code from here
Spark streaming basic project | Day 81 Check out the code from here
Spark streaming with Twitter API | Day 82
Check out the code from here
Africa banking data analysis project | Day 83 Check out the code from here
Nifty stock exchange data analysis project | Day 84 Check out the code from here
MLflow example project | Day 85
Check out the code from here
Extract text from image using Tesseract and Tessy | Day 86 Check out the code from here
Extract text from image using Tesseract and Pytesseract | Day 87 Check out the code from here
Reading docs to train Tesseract OCR | Day 88 Check out the docs from here
Text extraction from image using Deeplearning and Tesseract | Day 89 Check out the code from here
Working on image Cropping, Resizing to get better result from OCR | Day 90 Check out this helpful project from here
Testing the Tesseract OCR on image Cropping, Resizing and Increased DPI | Day 91-92 Checking The official implementation for A2-RL: Aesthetics Aware Rinforcement Learning for Automatic Image Cropping | Day 93-94
Check out the paper and project from here
Working on data collection and preparation for training Custom Handwritten Burmese OCR | Day 95 starting with this dataset
Learning how to deploy jupyter notebook in openshift | Day 96
Installing minishift to run openshift locally | Day 97-98 Installed minishift successfully working on deployment | Day 99 Started to work on jupyter notebook deployment in openshift environment | Day 100 Made with ❤️ and Python
If this repository helps you in any matter please consider donating
