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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

analyzing-visualizing-data-powerbi

This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.

art_of_data_visualization

The art of effective visualization of multi-dimensional data

bert

TensorFlow code and pre-trained models for BERT

big-data-analysis-with-python

Combine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

cracking-the-data-science-interview

Resources for Oreilly's "Cracking the Data Science Interview" video series.

cybersecurity-data-science-on-udemy

Code and data for Cybersecurity Data Science on Udemy

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-prep-minitoolkit

Three little Python scripts for data preparation: remove commas, add commas, concatenate files

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-wrangling-with-python

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

data_science_interview_guide

These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube

datacamp

A repository that contains courses I have taken on DataCamp

dax-cookbook

DAX Cookbook, Published by Packt

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-engineering-made-easy

Feature Engineering Made Easy, published by Packt

hands-on-big-data-analytics-with-pyspark

Hands-On Big Data Analytics with PySpark, Published by Packt

hands-on-data-science-for-marketing

Hands-On Data Science for Marketing, published by Packt

hands-on-predictive-analytics-with-python

Hands-On Predictive Analytics with Python, published by Packt

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.

httlads

How to Think Like a Data Scientist

https-github.com-tellenai-app

image_captioning

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kaggle

kaggle

machine-learning-templates

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft