Download easily in pdf Data Analysis From beginning With Python Step by Step Guideline book. This Data analysis book is very useful for beginners. This book also motivate people who want to learn python language. There are a lot of topics by which you can clear your concepts of python. This book is in PDF format with English language.
Data Analysis:-
Actually Data analysis is a process by which we can modeling and cleansing our data by discovering goals of very informative informing endings and supporting of taking decisions management.
Types of Data Analysis:-
- Text Analysis
- Statistical Analysis
- Diagnostic Analysis
- Predictive Analysis
- Prescriptive Analysis
In this book these topics are in detail:
Why Choose Python for Data Science & Machine Learning
- Python vs R
- Widespread Use of Python in Data Analysis
- Clarity
Prerequisites & Reminders
- Python & Programming Knowledge
- Installation & Setup
- Is Mathematical Expertise Necessary?
Python Quick Review
- Tips for Faster Learning
Overview & Objectives
- Accuracy & Performance
A Quick Example
- Iris Dataset
- Potential & Implications
Getting & Processing Data
- CSV Files
- Feature Selection
- Online Data Sources
Data Visualization
- Goal of Visualization
- Importing & Using Matplotlib
Supervised & Unsupervised Learning
- What is Supervised Learning?
- What is Unsupervised Learning?
- How to Approach a Problem
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree
- Random Forest
Classification
- K-Nearest Neighbors
- Decision Tree Classification
- Random Forest Classification
Clustering
- Goals & Uses of Clustering
- K-Means Clustering
- Anomaly Detection
Association Rule Learning
- Apriori
Reinforcement Learning
- What is Reinforcement Learning
Artificial Neural Networks
- An Idea of How the Brain Works
- Potential & Constraints
Natural Language Processing
Analyzing Words & Sentiments
More topics you can check in this book download easily.
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