Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-96.31%)
Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+44.92%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+107.92%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+54.16%)
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 (-92.48%)
PbpythonCode, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+13.72%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (-70.05%)
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 (-85.62%)
DtaleVisualizer for pandas data structures
Stars: ✭ 2,864 (+88.92%)
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 (-81.99%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (-79.22%)
Pandas VideosJupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+13.19%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+23.22%)
Py QuantmodPowerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/
Stars: ✭ 155 (-89.78%)
Drugs Recommendation Using ReviewsAnalyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Stars: ✭ 35 (-97.69%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (-34.96%)
Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (-89.38%)
MachinelearningcourseA collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-97.69%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-96.5%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-89.25%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-86.74%)
Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (-25.33%)
Mlcourse.aiOpen Machine Learning Course
Stars: ✭ 7,963 (+425.26%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (-35.22%)
Data Forge TsThe JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.
Stars: ✭ 967 (-36.21%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (-88.59%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (-80.08%)
ZatZeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark
Stars: ✭ 303 (-80.01%)
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 (-76.91%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-88.72%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (-85.49%)
Hyperlearn50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (-20.58%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
Stars: ✭ 3,920 (+158.58%)
CodeCompilation of R and Python programming codes on the Data Professor YouTube channel.
Stars: ✭ 287 (-81.07%)
Pythondatarepo for code published on pythondata.com
Stars: ✭ 113 (-92.55%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+193.4%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (-64.31%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (-74.87%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (-53.56%)
Model Describermodel-describer : Making machine learning interpretable to humans
Stars: ✭ 22 (-98.55%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-94.06%)
H2o 3H2O 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.
Stars: ✭ 5,656 (+273.09%)
Data Science On GcpSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Stars: ✭ 864 (-43.01%)
Pandas ProfilingCreate HTML profiling reports from pandas DataFrame objects
Stars: ✭ 8,329 (+449.41%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-98.09%)