DIVYANSH MATHUR's repositories
Tomato-Leaf-Disease-Detection-
Depp Learning Tomato Leaf Disease Prediction project deployment using flask, Keras, TensorFlow, sklearn libraries.
Car-Price-Prediction
End to end implementation and deployment of Machine Learning Car Price Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.
Flight-Fare-Prediction
End to end implementation and deployment of Machine Learning Airline Flight Fare Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.
Cotton-Disease-Predictor
End-to-end implementation and deployment of Deep Learning Cotton Disease Predictor web application created using python, flask, gunicorn, scikit-Learn, Keras, TensorFlow, etc., and deployed on the Heroku web application platform.
ML-Spam-Detection
End to end implementation and deployment of Machine Learning Spam Detection using python, flask, gunicorn, scikit-Learn, nltk, etc. on Heroku web application platform.
Restaurant-Reviews-Sentiment-Analysis
End-to-end implementation and deployment of Machine Learning Restaurant Reviews Sentiment Analysis using python, flask, gunicorn, scikit-Learn, nltk, etc. on the Heroku web application platform.
Bank-Notes-Authenticator
End-to-end implementation and deployment of Machine Learning Bank Notes Authenticator web application created using python, flask, gunicorn, scikit-Learn, etc., and deployed on the Heroku web application platform.
Python-Bootcamp-2020
Python Bootcamp 2020 Notebooks and Assignments
Deep-Learning
Implementation of Deep Learning Projects
Halliburton-Landmark-Learning-ML-with-Python
Machine Learning with Python: Halliburton Landmark Learning
IBM-Coursera-Capstone-Projects
Implementation of IBM-Coursera Data Science Specialization Projects
Kaggle-Exercise-Notebooks
This repository contains notebooks in which I have implemented ML Kaggle Exercises for academic and self-learning purposes. In my notebooks, I have implemented some basic processes involved in ML Data Processing like How to take care of Missing Values, Handling Categorical Variables, and operations like mapping, 'Grouping', 'Sorting', 'Renaming and Combining' etc. on Kaggle datasets.
Machine-Learning-Projects
Implementation of Machine Learning Projects
Natural-Language-Processing
NLP Projects Implementation.
PIMA-Diabetes-Kaggle-Problem-Statement
End-to-end implementation and deployment of Machine Learning Diabetes Predictor web application created using python, flask, gunicorn, scikit-Learn, etc., and deployed on the Heroku web application platform.
Python-Projects
Python Projects Repository