Kamal Singh's repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
rainfall-prediction
Built a classification model which tell that if tomorrow will rain or not. Classification algorithms used random forest and xgboost.
Car-Price-Prediction
Build an end to end machine learning model of car price prediction.
Movie-Recommender-System
Built a movie recommender system with Streamlit and deploy in Heroku Platform.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Spam-classifier
Built an Email/SMS spam classifier, which give 97.19% accuracy and 100% precision using Naive Bayes.
Flight-Fare-Prediction
Built flight fare prediction and deploy using flask on Heroku platform
olympics-analysis
Analyzing the Olympics games by Medal Tally, Overall Analysis, Country-wise Analysis, Athlete-wise Analysis
Deep-Learning
This is for learning purpose.
Machine-Learning
This is for learning purpose.
Coursera_Capstone
IBM Data Science : The Battle of Neighborhoods