8266 Open source projects that are alternatives of or similar to Deep Learning Machine Learning Stock

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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A Python library for easy data analysis, visualization, exploration and modeling

repo for code published on pythondata.com

open source for wechat-official-account (ID: PyDataLab)

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

General Assembly's 2015 Data Science course in Washington, DC

🛠 All-in-one web-based IDE specialized for machine learning and data science.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Quiz & Assignment of Coursera

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

DeltaPy - Tabular Data Augmentation (by @firmai)

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Collection of useful data science topics along with code and articles

Resources for weekly Data Science Lunch & Learns

Visualizer for pandas data structures

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

A Portfolio of my Data Science Projects

Introducing neural networks to predict stock prices

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Yet another black-box optimization library for Python

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Data transformations for the ML era

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Apache Superset is a Data Visualization and Data Exploration Platform

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Easy to use Python library of customized functions for cleaning and analyzing data.

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

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Visualize and compare datasets, target values and associations, with one line of code.

Lending Club Loan data analysis

Jupyter notebook and datasets from the pandas Q&A video series

A collection of non-residential buildings for performance analysis and algorithm benchmarking

An intuitive library to extract features from time series

Code, Notebooks and Examples from Practical Business Python

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Achieve your marketing goals with the data analytics power of Python

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

A curated list of awesome scientific Python resources

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

A Java API for Developing Automated Trading Applications for the Equity, Futures, and Currency Markets

Stock Analysis Tutorial in Python

Build a data visualization dashboard with simple snippets of python code

Create UIs for your machine learning model in Python in 3 minutes

Materials for GWU DNSC 6279 and DNSC 6290.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

YouTube Like Count Predictions using Machine Learning

Machine learning fundamentals lesson in interactive notebooks

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Streamlit — The fastest way to build data apps in Python

Applying Data Science and Machine Learning to Solve Real World Business Problems