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Data Science For Beginners: Hands-On Data Science In Python

Data Science For Beginners: Hands-On Data Science In Python


Data Science, Machine Learning and Artificial Intelligence are the most demanding skills in today's world,

Overview

Description
Data Science, Machine Learning and Artificial Intelligence are the most demanding skills in today's world,

Almost every Multi-National company is working on these new technologies.

With this Mega Course you will learn all the required tools for Data Science from very beginning!

We will cover below topics:

1) Data Analysis with Numpy: NumPy Arrays, Indexing and Selection, NumPy Operations
2) Data Analysis with Pandas: Pandas Series, DataFrames, Multi-index and index hierarchy, Working with Missing Data, Groupby Function, Merging Joining and Concatenating DataFrames, Pandas Operations, Reading and Writing Files
3) Data Visualization with Matplotlib library
4) Data Pre-Processing: Importing Libraries, Importing Dataset, Working with missing data, Encoding categorical data, Splitting dataset into train and test set, Feature scaling
5) Regression Analysis: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, Support Vector Machine, Decision Tree, Random Forest, Evaluating the Model Performance
6) Classification Techniques: Logistic Regression, KNN, SVM, Naïve Bayes, Decision Tree, Random Forest
7) Cluster Analysis: K means, Hierarchical
8) Natural Language Processing: NLTK, Tokenization, Stemming, Lemmatization, Stop Words, POS Tagging, Chunking, Named Entity Recognition, Text Classification
9) Dimensionality Reduction: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)
Learn Data Science to advance your Career and Increase your knowledge in a fun and practical way !

Regards,

Vijay Gadhave

Basic knowledge
No Prior Knowledge or Experience Needed, Only a Passion to Learn

Course Information

No Prior Knowledge or Experience Needed, Only a Passion to Learn

What will you learn
The Complete Understanding of Machine Learning from the Scratch
Learn Python for Data Science and Machine Learning
Learn How to Pre-Process the Data
Perform Linear and Logistic Regressions in Python
Learn Different Regression Algorithms in Python
Learn to Apply Different Classification Algorithms in Python
K means and Hierarchical Cluster Analysis
Data Analysis with NumPy and Pandas
Data Visualization with Matplotlib library
DataFrames, Pandas Series, Pandas Matrix
NumPy Arrays, Indexing, Selection, Numpy Operations
Learn to Work with Missing Data
Natural Language Processing
Dimensionality Reduction: PCA and LDA

Students who want to start a career in the field of Data Scientist and Machine Learning
Professionals who want to start a new career in Data Science
Anyone who is interested in Machine Learning and Data science
Data Analyst who want to level up in Machine Learning and Data Science

• Lifetime Access to Each Course
• Certificate on Completion of Course
• No Extra Charges Or Admin Fees
• Easy Access to Courses
• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

Find various Data Analyst courses including a diploma in data analytics

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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