Learn and Download Free Data Science from Scratch in PDF File. Data science is the field that use scientific methods, procedures, algorithms, and systems to extract insights and knowledge from raw, structured, and unstructured data, as well as applying that data and actionable insights to a wide range of applications. In this notes you will learn the basic knowledge of algebra, statistic and probability. In this notes you learn how to use these term in data science.
This is an amazing Notes for Programmers, Developers, students and those who interested in data science. This is also helpful for research paper. Models like k-nearest neighbors, Nave Bayes, linear and logistic regression, decision trees, neural networks, and clustering should all be used. You learn programming by code examples which is helpful for your project. You can easily download this PDF file free of cost.
| Notes | Data Science From Scratch With PYTHON |
| Notes TYPE | |
| Language | English |
| Size | 15 MB |
You Learn These Topics:
Learn Data Science Introduction
Learn Crash Course in Python
Visualizing Data
Learn Linear Algebra
Statistics in Data Science from Scratch
Probability in Data Science from Scratch
Learn Hypothesis in Interface
Learn Gradient Descent
Getting Data
Working with Data
Learn Machine Learning in Data Science
Learn K-Nearest Neighbor in Data Science from Scratch
Learn Naive Bayes
Learn Simple Linear Regression
Learn Multiple Regression in Data Science
Learn Logistic Regression in Data Science
Learn Decision Trees in Data Science
Learn Neural Networks from Scratch
Learn Deep Learning in Data Science
Clustering
Learn Natural Language Processing
Learn Network Analysis
Recommender Systems in Data Science
Learn Database and SQL
Learn Map Reducing in Data Science
Data Ethics in Data Science
Go Forth and Do Data Science
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