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python-basics

Coding Ninjas: Structured way to do python questions, with comments and solution of assignments

python-patterns

A collection of design patterns/idioms in Python

recommendation-systems

stock-market-analysis-and-prediction

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

stock-market-prediction

A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) has been carried out for Google Stock Market prediction using Yahoo and Google finance historical data.

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

stock-market-price-prediction

Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest Neighbor, Support Vector Machine, Decision Tree, and Random Forest to identify which algorithm gives better results. Used Neural Networks such as Auto ARIMA, Prophet(Time-Series), and LSTM(Long Term-Short Memory) then compare make Inferences about the model.

stock-predection

Stock Prediction using machine learning

stock-price-predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

stock_analysis_for_quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

stockforecast

Using machine learning to predict/forecast the future trend of stock prices.

stockprediction

Stock prediction using KNN regression, Linear regression and aka LSTM

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

technocolabs-internship-project

technocolabs-softwares-data-analyst-mini-project-bigmart-outlet-sales

The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.

ybinew

YBI FOUNDATION INTERNSHIP