fbpx

Machine Learning with Python

This course has been designed help you learn Machine Learning’s complex theory, algorithms and coding libraries in a simple way. This program dives deep into Introduction of Machine Learning, Application of Machine Learning, Machine Learning Introduction, Supervised and Unsupervised Learning, Regression and Classification Problems, Semi-Supervised and Reinforcement Learning.

Enquire Now

72 Course Hours

Eligibility

Anyone with basic knowledge of Machine Learning.

Available Modules

In-class and online.

Expert Training

Designed, developed and delivered by industry experts with over 20 years of experience.

Program Details:

Introduction of Data Science and Machine Learning
What is data Science
Introduction of Machine Learning
Application of Machine Learning
Machine Learning Introduction
Supervised & Unsupervised Learning
Regression & Classification Problems
Semi-Supervised & Reinforcement Learning
 
Introduction Python
What is Python?
Installing Anaconda
Understanding the Spyder Integrated Development Environment (IDE)
Python basics and string manipulation
lists, tuples, dictionaries, variables
Control Structure
If loop, For & while Loop
Writing user defined functions
Object oriented programming
Working with Class & Inheritance
 
Data Structure & Data Manipulation in Python
Intro to Numpy Arrays
Data Processing using Arrays
Mathematical computing basics
Basic statistics
File Input and Output
Getting Started with Pandas
Data Acquisition (Import & Export)
Selection, Filtering, Combining and Merging Data Frames
Removing Duplicates & String Manipulation
 
Statistics for Machine Learning
Statistical Inference
Statistical Population
Statistical Models
 
Data Preprocessing
Get the dataset
Importing the Libraries
Importing the Dataset
Missing Data
Categorical Data
Feature Scaling
Data Preprocessing Template!
 
Simple Linear Regression
Dataset + Business Problem Description
Simple Linear Regression Intuition
Simple Linear Regression in Python
 
Multiple Linear Regression
Dataset + Business Problem Description
Multiple Linear Regression Intuition
Multiple Linear Regression in Python
 
Polynomial Regression
Polynomial Regression Intuition
How to get the dataset
Polynomial Regression in Python
Python Regression Template
 
Support Vector Regression (SVR)
How to get the dataset
SVR in Python
 
Decision Tree Regression
Decision Tree Regression Intuition
How to get the dataset
Decision Tree Regression in Python
 
Random Forest Regression
Random Forest Regression Intuition
How to get the dataset
Random Forest Regression in Python
 
Logistic Regression
Logistic Regression Intuition
How to get the dataset
Logistic Regression in Python
Python Classification Template
 
K-Nearest Neighbors (K-NN)
K-Nearest Neighbor Intuition
How to get the dataset
K-NN in Python
 
Support Vector Machine (SVM)
SVM Intuition
How to get the dataset
SVM in Python
 
Kernel SVM
Kernel SVM Intuition
Mapping to a higher dimension
The Kernel Trick
Types of Kernel Functions
How to get the dataset
Kernel SVM in Python
 
Naive Bayes
Bayes Theorem
Naive Bayes Intuition
How to get the dataset
Naive Bayes in Python
 
Decision Tree Classification
Decision Tree Classification Intuition
How to get the dataset
Decision Tree Classification in Python
 
Random Forest Classification
Random Forest Classification Intuition
How to get the dataset
Random Forest Classification in Python
 
K-Means Clustering
K-Means Clustering Intuition
K-Means Random Initialization Trap
K-Means Selecting The Number Of Clusters
How to get the dataset
K-Means Clustering in Python
 
Hierarchical Clustering
Hierarchical Clustering Intuition
Hierarchical Clustering How Dendrograms Work
Hierarchical Clustering Using Dendrograms
How to get the dataset
HC in Python
 
Apriori
Apriori Intuition
How to get the dataset
Apriori in Python
 
Upper Confidence Bound (UCB)
The Multi-Armed Bandit Problem
Upper Confidence Bound (UCB) Intuition
How to get the dataset
Upper Confidence Bound in Python
 
Thompson Sampling
Thompson Sampling Intuition
Algorithm Comparison: UCB vs Thompson Sampling
How to get the dataset
Thompson Sampling in Python
 
Natural Language Processing
How to get the dataset
Natural Language Processing in Python
 
Deep Learning
What is Deep Learning?
 
Artificial Neural Networks
Plan of attack
The Neuron
The Activation Function
How do Neural Networks work?
How do Neural Networks learn?
Gradient Descent
Stochastic Gradient Descent
Back propagation
How to get the dataset
Business Problem Description
ANN in Python
 
Convolutional Neural Networks
What are convolutional neural networks?
Convolution Operation
ReLU Layer
Pooling
Flattening
Full Connection
Softmax & Cross-Entropy
How to get the dataset 3
CNN in Python

Enquire Now

Learn Python