Udemy

Platform

English

Language

Data Science

Category

Python For Machine Learning With Solved Projects By Spotle

This Spotle masterclass is for the doers who are focused on building a rewarding career in machine learning

Python For Machine Learning With Solved Projects By Spotle

Students

5.5 hours

Content

Feb 2021

Last Update
Regular Price


What you will learn

Python fundamentals

Handling numbers in Python

Handling strings in Python

Control flow in Python

File handling in Python

Modules and packages in Python

Python libraries - numpy, pandas, matplotlib, scikit-learn etc

Basic statistics and data visualization with Python

Overview of machine learning

Supervised machine learning

Unsupervised machine learning

Linear regression with Python

Logistic regression with Python

Decision tree with Python

Regression tree with Python

Random forest with Python

Support Vector Machines with Python

K-means clustering with Python

Do It Yourself - hierarchical clustering

K-Nearest Neighbor

Naïve Bayes Classifier with Python

Do It Yourself - Build Your Own Credit Risk Analyzer


Description

Machine learning and Python have become key industry drivers in the global job and opportunity market. This course with lectures from industry experts and Ivy League academics will help learners learn a wide range of machine learning techniques. Get ready for the experiential learning. All the topics have been explained with worked-out real projects with real data. The learners will get the chance to apply their learning in Do It Yourself projects.

In this course you will learn:

  • Python fundamentals

  • Handling numbers in Python

  • Handling strings in Python

  • Control flow in Python

  • File handling in Python

  • Modules and packages in Python

  • Python libraries - numpy, pandas, matplotlib, scikit-learn etc

  • Basic statistics and data visualization with Python

  • Overview of machine learning

  • Supervised machine learning

  • Unsupervised machine learning

  • Linear regression with Python

  • Logistic regression with Python

  • Decision tree with Python

  • Regression tree with Python

  • Random forest with Python

  • Support Vector Machines with Python

  • K-means clustering with Python

  • Do It Yourself - hierarchical clustering

  • K-Nearest Neighbor

  • Naïve Bayes Classifier with Python

  • Do It Yourself - Build Your Own Credit Risk Analyzer

Spotle

Spotle is an AI-powered career platform matching you to the relevant career path in real-time. Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

The AI based platform understands your aspiration and potential, analyses your career goals and automatically finds the right networks, career paths and opportunities for you. Think of it as your AI-enabled assistant working 24/7 to help your career grow. Powered by a mix of NLP, predictive modelling and machine learning, Spotle works in the background and automatically discovers for you the right opportunities, networks and career resources. The Spotle Learn platform develops and aggregates learnings and content from top academics and industry practitioners and helps you build your skill through an adaptive learning path.

For companies or employers, Spotle uses deep matching to instantly surface the right talents you will want to hire. It simplifies the entire hiring process through AI-powered candidate matching. Your talent pipelining becomes easy as Spotle recommends potential hires based on your hiring goals and lets you engage with passive candidates who are not actively applying to jobs right now. It gives you a periscopic view into campus talents through leaderboards and innovative skill points.

Spotle reaches over 20,000 Recruiters and a million plus students and young professionals. The company works with leading campuses and companies to craft the right career matches.


Content

Recap Python

Introduction To Python

Python Basics

Setup Your Python Environment And Write Your First Program

How Python Programs Can Be Run In Many Ways

Numbers

Numerical Operations With Python

Strings

String In Python

String In Python - Codes

Loops And Conditional Flow

Python Control Flow - Part 1

Python Control Flow - Part 2

Python Control Flow - Part 3

Python Control Flow - Codes

File Operations

File Handling In Python Part - 1

File Handling In Python Part - 2

File Handling In Python Part - 3

File Handling In Python - Codes

Modules And Packages

Module Creations And Usage

Package Creation And Importing

NumPy Library

Introduction To NumPy Library

Pandas For Data Science And Machine Learning

Playing With Pandas - Part 1

Playing With Pandas - Part 2

Basic Statistics And Data Visualization Using Python

Introduction To Machine Learning

Machine Learning Overview

Supervised And Unsupervised Learning

Implementing Regression Analysis

Linear Regression With Python

Logistic Regression With Python

Implementing Decision Tree

Overview Of Decision Tree

Decision Tree With Python - Part 1

Decision Tree With Python - Part 2

Decision Tree With Python - Part 3

Decision Tree With Python - Part 4

Decision Tree With Python - Part 5

Implementing Regression Tree

Regression Tree With Python

Implementing Random Forest

Random Forest With Python - Part 1

Random Forest With Python - Part 2

Implementing SVM - Support Vector Machines

Support Vector Machines With Python

Implementing K-nearest Neighbor

How To Calculate Euclidean Distance

Understanding KNN Algorithm

K-nearest Neighbor or KNN Algorithm

Implementing Naïve Bayes Classifier

Naïve Bayes Classifier With Python

Implementing K-means Clustering

K-means Clustering With Python

Hierarchical Clustering

Hierarchical Clustering - Part 1

Hierarchical Clustering With Case Studies

Hierarchical Clustering - Part 2

Hierarchical Clustering - Part 3

DIY - Build Your Own Credit Risk Analyzer

Understanding Credit Risk Analyzer

Building A Credit Risk Analyzer

Build Your Own Credit Risk Analyzer


3824364

Udemy ID

2/4/2021

Course created date

2/27/2021

Course Indexed date
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