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10-steps-to-become-a-data-scientist

📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

audio-sentiment-analysis

Codes For Audio Sentiment Analysis of Call Center Data

azuremlops

comparison-of-machine-learning-prediction-models

Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.

covid-19-eda-tutorial

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

credit-risk-modelling

Credit Risk analysis by using Python and ML

dash-sample-apps

Apps hosted in the Dash Gallery

data-analysis

Data Science Using Python

data-analysis-using-python

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Data 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.

data-science-r

R code and documentation for "Introduction to Data Science" by Jeffrey Stanton

datasciencepython

common data analysis and machine learning tasks using python

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

drowsydriverdetection

Drowsy driver detection using Keras and convolution neural networks.

electricity-usage-analysis

exploratory_data_analysis_visualization_python

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

faceforensics

Github of the FaceForensics dataset

fastai

The fastai deep learning library, plus lessons and tutorials

flowingdata

R tutorials in data visualisation by Nathan Yau (www.flowingdata.com)

go

The Open Source Data Science Masters

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handy_data_viz_functions

Jupyter notebook of (python/Pandas) code snippets for handy matplotlib and Seaborn plotting functions to speed up EDA

ibm-hr-analytics-employee-attrition-performance

The IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the data using various libraries like pandas,seaborn,matplotlib etc.. Then I have plotted used feature selection techniques like RFE to select the features. The data is then oversampled using the SMOTE technique in order to deal with the imbalanced classes. Also the data is then scaled for better performance. Lastly I have trained many ML models from the scikit-learn library for predictive modelling and compared the performance using Precision, Recall and other metrics.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

intro-to-python

Python and programming

introdatavisualizationwithrandggplot2

The public GitHub repository for Data Science Dojo's webinar titled "An Introduction to Data Visualization with R and ggplot2".

intrototextanalyticswithr

"Text Analytics with R".