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Machine-Learning-Projects

  1. Heart Disease

  2. Heart Attack

  3. Sentiment Analysis

  4. Spam-mail detector

  5. Customer Churn Prediction

  6. Home price prediction

  7. Diabetics prediction,

  8. Malware Prediction

  9. Earth Quake Prediction

  10. Breast Cancer Analysis

  11. Customer Clustering and Score Prediction

  12. Social Network Purchase Prediction.

  13. Rainfall Analysis

  14. Temperature Prediction

  15. Maternal Health Prediction

  16. Bitcoin Price & Profit Prediction

  17. Daily ICU Occupancy Analysis for Covid-19

18.Drug Sales Analysis

Machine Learning Algorithm Implementation:

-Decision Tree Classifier

-Random Forest Classifier

-K Nearest Neighbors

-K Meeans Clustering

-Support Vector Machine

-Linear Regression

-Logisitic Regression

-Naive Bayes

-LGBM Classifier

-XGBOOST Classifier/Regressor

-Ensemble tools(Stacking Classifier,Voting Classifier)

-Cross Validation Score

Data Engineering tools-

-Data preprocessing tools

-Data Visualization

-Feature Scaling/Encoding

-Important Feature Analysis

-Outlier Removing Technique

Deep Learning Algorithms:

-Artificial Neural Network

-Tensorflow

-Impact Learning

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