abhishekchikara Goto Github PK

anaylysis

Making predictions analysis over amazon recommendation dataset

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

automating_browsers

Using selenium to automate the drop down menu where i created a function to avoid StaleElementExceptions and other element exceptions by using a simply try and except method.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

basicmaths

Simple maths function using tensorflow framework

bda_course_aalto

Bayesian Data Analysis course at Aalto

buisnessstudy

carrot

AMQP Messaging Framework for Python (discontinued; Use Kombu instead)

classification-feature-selection

Data visualization using seaborn and pandas plots while selecting which features to choose using model selection method

connectors

data-analysis

Data Science Using Python

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

eikondataapi

example.messengerchatbot.python

The Messenger Bot API example/demo source code in Python language.

feature_ranking

This notebook is heavily influenced by the work of Anisotropic[https://www.kaggle.com/arthurtok/kernels]

final_iris

Data visualization and stacking techniques to get the important features for our model for classifying different labels

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

forecasting

Time Series Forecasting Best Practices & Examples

interactive-brokers-python-native-api-guide

These are the code used for the article "Interactive Brokers Python API (Native) – A Step-by-step Guide". The article and these code are written by Jignesh Davda.

jack

Titanic: Machine Learning from Disaster

kstock

RobinHood Day Trading Program

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

machine-learning-asset-management

Machine Learning in Asset Management

medium_code_snip

Notes for Myself : )

mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mop

Stock market tracker for hackers

neuralscratch

3 layer neural network from scratch , datasets can downloaded from the andrew ng course from coursera

nn-neural-network

create 3 layer neural network

polyaxon

Machine Learning Management & Orchestration Platform (Monorepo for Polyaxon's MLOps Tools)