9181 Open source projects that are alternatives of or similar to Mydatascienceportfolio

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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

深度学习在推荐系统中的应用及论文小结。

Word2Vec models with Twitter data using Spark. Blog:

Visualizer for pandas data structures

Collection of useful data science topics along with code and articles

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Resources for weekly Data Science Lunch & Learns

repo for code published on pythondata.com

Achieve your marketing goals with the data analytics power of Python

RadIO is a library for data science research of computed tomography imaging

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

Probabilistic reasoning and statistical analysis in TensorFlow

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

🎓 Jupyter notebooks from UFC data science course

Support content for my blog

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Data science and Big Data with Python

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

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.

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Materials for GWU DNSC 6279 and DNSC 6290.

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.

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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

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.

Quiz & Assignment of Coursera

A simple probabilistic programming language.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Stock for Deep Learning and Machine Learning

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

Python Helper library for Jupyter Notebooks

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

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

📢 Ready to learn or review your knowledge!

Datasets, tools, and benchmarks for representation learning of code.

Best Practices on Recommendation Systems

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

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

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

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

SF Brigade's Data Science Working Group.

Koç University deep learning framework.

Collection of Artificial Intelligence projects.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A Portfolio of my Data Science Projects

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

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.

Concise deep learning for JAX

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

Spying using Smartwatch and Deep Learning