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Deep-Learning-for-Customer-Churn-Prediction
Singular-ValueDecomposition-SVD-based-Movie-Recommendation
Tweeter-Sentiment-Analysis-for-Political-Leaders
Review-Analysis-NLP
Kernel-Principal-Component-Ananlysis
Object-Detection-using-YOLO
Extract-Text-from-Image
Trasnfer-Learning-VGG-CIFAR10
News-Article-Scraping-and-Summarizing
Object-Detection-in-Image-using-YOLO
Python-Capsule-Dose-for-Data-Analysis
Python Capsule DoseTweeter-Data-Analysis
Analysis of Tweets Searched with a KeywordFashion-MNIST-Classification-
Time-Series-Anomaly-Detetcion
DNN-for-Bank-Crisis-Prediction
Image-Classification-using-Convolutional-Neural-Network
Review-Scraping
K-Means-and-Hierarchical-Clustering-in-Customer-Segmentation
Stock-Prediction-through-LSTM-Model
Fruit-Classification-using-Convolutional-Neural-Network-
Predicting-Buyers-and-Non-Buyers-of-an-Advertised-Product
Generative-Adversarial-Network-GAN-for-Fashion-Image-Generation
Vaibhav_Predictive_Analytics1
In this project, i have formulated the relationship between the value of SENSEX and the stock price of Infosys. This relationship has been formulated using a Simple Linear Regression Model implemented in Python. Through this relation, we can predict the price of Infosys on the basis of SENSEX.Love Open Source and this site? Check out how you can help us