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The-Sparks-Foundation---Machine-Learning-Data-Science
This Repo Consists of some of the Tasks for The Sparks Foundation-Machine Learning and Data Science Internship, containing Supervised and Unsupervised Machine Learning Techniques to solve A ML Problem in a Systematic Way.ML-Model-Clustering
ML Model for Clustering Clients to increase Sales at Mall.Python-mp3-Player
Python Music Player - using tkinter and pygameDeeplearning-Self-Organizing-Map
Unsupervised, Self Organizing Map for Fraud Detection.Deeplearning-Artificial-Neural-Network
Artificial Neural Network for Churn Modelling including Evaluating, Improving and Parameter TuningDeeplearning-CNN
Convolution Neural Network to classify different Animals.ML-Model-Classification
ML model to classify Interests, for Advertising Online Adds.Analyzing-Box-Office-Data-using-Seaborn-Plotly-and-Python
This project aims to Analyze Box Office Data using different Visualization tools such as Seaborn, Plotly using Python.Deeplearning-Recurrent-Neural-Network
Recurrent Neural Network for Stock Prediction of Google.Room-Occupancy-Detection-Using-Sensor-Data-and-Evaluate-Machine-Learning-Models-with-Yellowbrick
Evaluation of Machine Learning Models with YellowbrickLove Open Source and this site? Check out how you can help us