Ai Learn人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Stars: ✭ 4,387 (+6754.69%)
Retentioneering ToolsRetentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.
Stars: ✭ 291 (+354.69%)
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (-17.19%)
LanternData exploration glue
Stars: ✭ 292 (+356.25%)
Cape PythonCollaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark
Stars: ✭ 125 (+95.31%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (+348.44%)
GeopythonNotebooks and libraries for spatial/geo Python explorations
Stars: ✭ 268 (+318.75%)
Aws Data WranglerPandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Stars: ✭ 2,385 (+3626.56%)
Pandas.netPandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.
Stars: ✭ 259 (+304.69%)
gw2raidarA log parsing website for Guild Wars 2 combat logs
Stars: ✭ 19 (-70.31%)
fairlensIdentify bias and measure fairness of your data
Stars: ✭ 51 (-20.31%)
GdeltpyrPython based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.
Stars: ✭ 124 (+93.75%)
AIPortfolioUse AI to generate a optimized stock portfolio
Stars: ✭ 28 (-56.25%)
PbpythonCode, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+2593.75%)
validadaAnother library for defensive data analysis.
Stars: ✭ 29 (-54.69%)
DatscanDatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
Stars: ✭ 13 (-79.69%)
capbot2.0Repository to hold code for the cap-bot varient that is being presented at the SIIC Defence Hackathon 2021.
Stars: ✭ 20 (-68.75%)
Gspread DataframeRead/write Google spreadsheets using pandas DataFrames
Stars: ✭ 118 (+84.38%)
OptbnbOptimize and compare your Airbnb listing at a click of a button!
Stars: ✭ 14 (-78.12%)
WeldHigh-performance runtime for data analytics applications
Stars: ✭ 2,709 (+4132.81%)
NyxarA Modular platform to perform advanced back-testing in today's 24/7 crypto-currency market
Stars: ✭ 14 (-78.12%)
IbisA pandas-like deferred expression system, with first-class SQL support
Stars: ✭ 1,630 (+2446.88%)
DataProfilerWhat's in your data? Extract schema, statistics and entities from datasets
Stars: ✭ 843 (+1217.19%)
visionsType System for Data Analysis in Python
Stars: ✭ 136 (+112.5%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+2268.75%)
junJUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang
Stars: ✭ 21 (-67.19%)
DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (+262.5%)
Seaborn TutorialThis 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.
Stars: ✭ 114 (+78.13%)
datahubDataHub - Synthetic data library
Stars: ✭ 66 (+3.13%)
AlphaVantageAPIAn Opinionated AlphaVantage API Wrapper in Python 3.9. Compatible with Pandas TA (pip install pandas_ta). Get your FREE API Key at https://www.alphavantage.co/support/
Stars: ✭ 77 (+20.31%)
SweetvizVisualize and compare datasets, target values and associations, with one line of code.
Stars: ✭ 1,851 (+2792.19%)
Dominando-PandasEste repositório está destinado ao processo de aprendizagem da biblioteca Pandas.
Stars: ✭ 22 (-65.62%)
Ni PytMateriály k předmětu NI-PYT na FIT ČVUT
Stars: ✭ 112 (+75%)
Machine-LearningThis repository contains notebooks that will help you in understanding basic ML algorithms as well as basic numpy excercise. 💥 🌈 🌈
Stars: ✭ 15 (-76.56%)
online-course-recommendation-systemBuilt on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
Stars: ✭ 31 (-51.56%)
OFFLINE-ERPA desktop application which helps students to choose Disciplinary and Open Electives wisely.
Stars: ✭ 16 (-75%)
Stock Market Analysis And PredictionStock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
Stars: ✭ 112 (+75%)
grizzlyA Python-to-SQL transpiler as replacement for Python Pandas
Stars: ✭ 27 (-57.81%)
XlsxwriterA Python module for creating Excel XLSX files.
Stars: ✭ 2,766 (+4221.88%)
Python-campNo description or website provided.
Stars: ✭ 34 (-46.87%)
Stocksmachine learning web app game where the user competes against the AI in picking stocks
Stars: ✭ 108 (+68.75%)
neworderA dynamic microsimulation framework for python
Stars: ✭ 15 (-76.56%)
EngeznyEngezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.
Stars: ✭ 25 (-60.94%)
Machine Learning머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Stars: ✭ 705 (+1001.56%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (+60.94%)
five-minute-midasPredicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
Stars: ✭ 41 (-35.94%)
ydata-qualityData Quality assessment with one line of code
Stars: ✭ 311 (+385.94%)
DS-Cookbook101A jupyter notebook having all most frequent used code snippet for daily data scienceoperations
Stars: ✭ 59 (-7.81%)
ferFacial Expression Recognition
Stars: ✭ 32 (-50%)
EpisodesSelf Hosted TV show Episode tracker and recommender built using django, bootstrap4.
Stars: ✭ 160 (+150%)