Data Science Tips for Beginners!

Title  Python Data Science Handbook: Essential Tools for Working with Data Author(s)   Jake VanderPlas Publisher:  O'Reilly Media; 1 edition (December 10, 2016); eBook (2018. Updated continuously) License(s):  Text Content:  CC-BY-NC-ND ; Source Code:  MIT License Paperback  548 pages Book Description:

Fundamentals of Python Programming by Richard L. Halterman Book Description: This book focuses on

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Break into Data Science Become A Data Science Expert Build up your ability to ingest, transform, visualize and model datasets. Whether you’re new to data science, or just need to brush up and expand your knowledge. Learn mathematics, statistics, SQL, Python, data cleaning and visualization, and machine and

It's a github repository which contains huge collection of books on: Computer Vision Deep Learning Machine Learning Math NLP Python Reinforcement Learning. 👉 Click Here to View the Collection! 👈

Deep Learning - Coursera Course Notes Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network. Deep learning is used across all industries for a number of different tasks. Commercial apps that use image recognition, open-source platforms with consumer recommendation apps and medical research tools that explore the possibility of reusing drugs for new ailments are a few of the examples of deep learning incorporation. 👉 Click Here to Download the Notes! 👈

Python is my most favorite tool for Data Science. Learning Python will definitely help you in your Data Science journey. Here is a great 63 pages comprehensive Python document that should help you. All the best! 👍🏻 👉 Click Here to Download the Book! 👈

Statistics free book - know your theory first. It's ideal for any data scientist: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data scientists, biologists, and quants, ranging from beginners to executives. It includes: Machine Learning Fundamentals and NLP Applied Probability and Statistical Science New Foundations of Statistical Science Case Studies, Business Applications Additional Topics Click Here to Download The Book!