Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+2607.14%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+3823.21%)
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-64.29%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-5.36%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (+412.5%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-60.71%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-37.5%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+580.36%)
SeabornStatistical data visualization in Python
Stars: ✭ 9,007 (+15983.93%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (+83.93%)
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 (+103.57%)
Data Science HacksData 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.
Stars: ✭ 273 (+387.5%)
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (+187.5%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+14119.64%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+5528.57%)
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+516.07%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+292.86%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (+60.71%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+39271.43%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (+176.79%)
100 Days Of Ml CodeA day to day plan for this challenge. Covers both theoritical and practical aspects
Stars: ✭ 172 (+207.14%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (+898.21%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+4073.21%)
Amazing Feature EngineeringFeature 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.
Stars: ✭ 218 (+289.29%)
Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
Stars: ✭ 181 (+223.21%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+5014.29%)
PythondatasciencehandbookThe book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Stars: ✭ 31,995 (+57033.93%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-48.21%)
ArticlesA repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Stars: ✭ 350 (+525%)
Machine learning basicsPlain python implementations of basic machine learning algorithms
Stars: ✭ 3,557 (+6251.79%)
PbpythonCode, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+2978.57%)
DexplotSimple plotting library that wraps Matplotlib and integrated with DataFrames
Stars: ✭ 208 (+271.43%)
LanternData exploration glue
Stars: ✭ 292 (+421.43%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+5710.71%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (+439.29%)
GeopythonNotebooks and libraries for spatial/geo Python explorations
Stars: ✭ 268 (+378.57%)
Sklearn EvaluationMachine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Stars: ✭ 294 (+425%)
ZatZeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
Stars: ✭ 303 (+441.07%)
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 (+7733.93%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (+462.5%)
Agile data code 2Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Stars: ✭ 413 (+637.5%)
Computer VisionComputer vision sabbatical study materials
Stars: ✭ 39 (-30.36%)
Best Of Ml Python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Stars: ✭ 6,057 (+10716.07%)