paratyaksh03 Goto Github PK

advanced_regression

autoap

Free WiFi hotspot

bike_sharing_assignment_lr

course

Upgrad course assignment

dhelm-gfeed-python-client

This is a python client for websocket APIs provided by Global Financial Datafeeds LLP

fraud_detection

Building a ML model for fraud detection

gesture_recognition_lydia_paratyaksh

market-risk-management-with-time-series-prediction-of-stock-market-trends-

Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time series analysis and prediction of short-term tends in stock prices.

portfolio

Minimal is a Jekyll theme for GitHub Pages

product-management-resources

A curated list of product management advice for technical people.

stock-predictor-lstm

This project is a working Stock Price predictor . The user can give it any company's stock from any Index like NASDAQ, NSE,etc. It can be used on any type of market like Stock(Equity), FX (Currency Exchange), FNO (Futures n Options), etc. and for any time frame like 1 min, 5 min, End Of the day data. Be careful to remove the irrelevant code from comment for 1 min and 5 min code. Be careful to change the READ_CSV line according to your Dataset and add columns or if not added then do not remove "USE_COLS" or replace it with a list of names of your columns like LIST=["Date","Time","Open", "High"...and so on] as"NAMES=LIST". I am open to changes and suggestions. If there is a query kindly add it in the issues section, I will try my best to help you.Stock traders mainly use three indicators for prediction: OHLC average (average of Open, High, Low and Closing Prices), HLC average (average of High, Low and Closing Prices) and Closing price, In this project, OHLC average has been used.

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.