├── LICENSE ├── Project 01 ( Copy_of_Rock_vs_Mine_Prediction ) ├── Copy of sonar data.csv ├── Copy_of_Rock_vs_Mine_Prediction.ipynb └── desktop.ini ├── Project 02 ( Diabetes Prediction ) ├── Deploy Diabetes Prediction Project on Streamlit │ ├── Deploying_Machine_Learning_model_using_Streamlit.ipynb │ ├── Diabetes Prediction web app.py │ ├── diabetes.csv │ ├── predictive system.py │ └── trained_model.sav ├── Diabetes_Prediction.ipynb ├── desktop.ini └── diabetes.csv ├── Project 03 ( House Price Prediction ) └── House_Price_Prediction.ipynb ├── Project 04 ( Loan Status Prediction ) ├── Loan_Status_Prediction.ipynb └── dataset.csv ├── Project 05 ( Wine Quality Prediction ) ├── Wine_Quality_Prediction.ipynb └── winequality-red.csv ├── Project 06 ( Car Price Prediction ) ├── CAR DETAILS FROM CAR DEKHO.csv ├── Car details v3.csv ├── Car_Price_Prediction.ipynb ├── car data.csv └── car details v4.csv ├── Project 07 ( Gold Price Prediction ) ├── Gold_Price_Prediction.ipynb └── gold_price_data.csv ├── Project 08 ( Heart Disease Prediction ) ├── Heart_Disease_Prediction.ipynb └── heart_disease_data.csv ├── Project 09 ( Credit Card Fraud Detection ) └── Credit_Card_Fraud_Detection.ipynb ├── Project 10 ( Medical Insurance Cost Prediction ) ├── Medical_Insurance_Cost_Prediction.ipynb └── insurance.csv ├── Project 11 ( Big Mart Sales Prediction ) ├── Big_Mart_Sales_Prediction.ipynb ├── Test.csv └── Train.csv ├── Project 12 ( Customer Segmentation using K Means Clustering ) ├── Customer_Segmentation_using_K_Means_Clustering.ipynb └── Mall_Customers.csv ├── Project 13 ( Parkinson's Disease Detection ) ├── Parkinson's_Disease_Detection.ipynb └── parkinsons.csv ├── Project 14 ( Titanic Survival Prediction using Machine Learning ) ├── Titanic-Dataset.csv └── Titanic_Survival_Prediction_using_Machine_Learning.ipynb ├── Project 15 ( Calories Burnt Prediction ) ├── Calories_Burnt_Prediction.ipynb ├── calories.csv └── exercise.csv ├── Project 16 ( Spam Mail Prediction using Machine Learning ) ├── Spam_Mail_Prediction_using_Machine_Learning.ipynb └── mail_data.csv ├── Project 17 ( Movie Recommendation System using Machine_Learning ) ├── Movie_Recommendation_System_using_Machine_Learning_with_Python.ipynb └── movies.csv ├── Project 18 ( Breast Cancer Classification using Machine Learning ) ├── Breast_Cancer_Classification_using_Machine_Learning.ipynb └── data.csv ├── Project 19 ( Rainfall Prediction using Machine Learning ) ├── Rainfall.csv ├── Rainfall_Prediction_using_Machine_Learning.ipynb └── rainfall_prediction_model.pkl ├── Project 20 ( Autism Preidiction using machine Learning ) ├── Autism_Preidiction_using_machine_Learning.ipynb ├── best_model.pkl ├── encoders.pkl └── train.csv ├── Project 21 ( Customer Churn Prediction using ML ) ├── Customer_Churn_Prediction_using_ML.ipynb ├── WA_Fn-UseC_-Telco-Customer-Churn.csv ├── customer_churn_model.pkl └── encoders.pkl ├── Project 22 ( Extra Learning Projects ) ├── Deploy Streamlit app as Docker Container │ ├── Dockerfile │ ├── README.md │ ├── app.py │ ├── colab_files │ │ ├── Multiple disease prediction system - Parkinsons.ipynb │ │ ├── Multiple disease prediction system - diabetes.ipynb │ │ └── Multiple disease prediction system - heart.ipynb │ ├── config.toml │ ├── credentials.toml │ ├── dataset │ │ ├── diabetes.csv │ │ ├── heart.csv │ │ └── parkinsons.csv │ ├── requirements.txt │ └── saved_models │ │ ├── diabetes_model.sav │ │ ├── heart_disease_model.sav │ │ └── parkinsons_model.sav ├── Gemini-pro Streamlit Chatbot │ ├── .env │ ├── README.md │ ├── main.py │ ├── requirements.txt │ └── streamlit │ │ ├── config.toml │ │ └── credentials.toml ├── Multiple Disease Prediction Streamlit App │ ├── README.md │ ├── app.py │ ├── colab_files_to_train_models │ │ ├── Multiple disease prediction system - Parkinsons.ipynb │ │ ├── Multiple disease prediction system - diabetes.ipynb │ │ └── Multiple disease prediction system - heart.ipynb │ ├── dataset │ │ ├── diabetes.csv │ │ ├── heart.csv │ │ └── parkinsons.csv │ ├── requirements.txt │ └── saved_models │ │ ├── diabetes_model.sav │ │ ├── heart_disease_model.sav │ │ └── parkinsons_model.sav └── No Code ML Model Training App │ ├── README.md │ ├── data │ ├── diabetes excel.xlsx │ ├── diabetes.csv │ └── heart.csv │ ├── requirements.txt │ ├── src │ ├── __pycache__ │ │ └── ml_utility.cpython-39.pyc │ ├── main.py │ ├── ml_utility.py │ └── test │ └── trained_model │ └── test └── Readme.md /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Machine-Learning-Projects/HEAD/LICENSE -------------------------------------------------------------------------------- /Project 01 ( Copy_of_Rock_vs_Mine_Prediction )/Copy of sonar data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rohanmistry231/Machine-Learning-Projects/HEAD/Project 01 ( Copy_of_Rock_vs_Mine_Prediction )/Copy of 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