Learn Machine Learning Algorithms by doing projects in Python and R Programming Language

Learning Algorithms

Hello Reader, I am Ravi Chaubey (Kaggle Masterpiece) and I am developing this repo to cover almost all the aspects of Machine Learning such as Supervised Learning, Unsupervised Learning, Association rule, and others. Well my primary programming language to do Data Science stuff is Python, But you may find some projects in R language as well, specially in Kaggle Notebook Section.

The Structure of project and organization of folders and many problem statements has been directly taken from Respected Sir Andrew NG's Machine Learning Course on Coursera. Implementation has been done by solo me, Apart from Andrew NG's Course, there are many use cases of Machine Learning has been covered in this repo.

Please feel free to reach out me for any kind of bug you need to resolve at my email [email protected] or you can directly create a pull request.

If you want to contribute projects to this repo, please feel free to collaborate.

Index to Learning Algorithms

• Linear Regression
  • Univariate Linear Regression
  • Multivariate Linear Regression
• Logistic Regression
  • Non regularized Logistic Regression
  • Regularized Logistic Regression
• Neural Network
  • Multiclass Classification with Neural Network
• Advice for Machine Learning
• Support Vector Machine
  • Linear Support Vector Classifier
  • RBF Support Vector Classifier
• Unsupervised Learning
  • KMeans Clustering
  • Dominant Color Extraction from Image
  • Compress Image
  • Document Clustering
  • Agglomerative Clustering
  • Principal Component Analysis
• Anamoly Detection and Recommender System (Working on it)
• My Kaggle Notebooks
  • Complete Data Visualization Tutorial Seaborn
  • Inferential Statistical Analysis on Diabetes Data
  • Predictive Analysis - KNN,ANN,XGBoost
  • Multivariate Statistical Analysis on Diabetes Data
  • Machine Learning Algorithms in R
  • Introduction to NLP with Python
  • Univariate Statistical Analysis on Diabetes Data
  • Extracting Dominant Color of an Image
  • COVID19 Analysis on India's Data (EDA & Statistical Test)
  • Application of Wide and Deep Neural Network
  • Improving and Speeding Neural Network
  • Transfer Learning in Computer Vision
  • End to End Machine Learning
  • Machine Learning at Scale with PySpark
  • Time Series Analysis - Descriptive Statistics and Tests
  • Forecasting COVID19 in India
  • Customer Segmentation in R
  • PostGraduate Admission Analysis in R
  • Cardiovascular Disease Analysis in R
  • Skewed Data with Machine Learning
  • Correlation Analysis in Python
  • Numpy Tutorial
  • re - Regular Expression, A Gentle Introduction