Machine Learning Course

Name: Machine Learning Course
Availability: InStock

₹699.00

The Machine learning online course will cover all the concepts from basics to intermediate and will upgrade the skills of a learner

The course contains both theory and practical.

The course is 40 hours of extensive learning Lifetime access to videos Complete all modules and get certified.

Category: Courses Tag: machine learning course

Mission | Machine Learning Course

Online Machine Learning Course combines computer science, statistics, and Data Science to harness that predictive power. It’s a must-have skill for anyone else who wants to wrestle all that raw data into refined trends and predictions.

Course Description

This comprehensive course will be your guide to learning how to use the power of Python to analyze
data, create beautiful visualizations, and use powerful machine learning and deep learning algorithms
like SVM, Artificial Neural Network, Convolutional Neural Network. This course is designed for beginners with some programming experience or experienced developers.

Prerequisites | Machine Learning Training

General Requirements
You are enthusiastic and motivated to learn. Participation in machine learning training courses requires consistently meeting
project deadlines and active participation.
Program-Specific Requirements
You have access to a computer with an internet connection, on which you’ll install a professional
code/text editor (VSCode).
You can independently solve and describe your solution to a math or programming problem.
Prior experience in python language.

Course Content

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Machine Learning Course

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Course Content

Modules

Learning Outcome

Projects and target

Module 1
Python Basic Syntax

Problem Solving Skills, Introduction to Online judges and Python Syntax

Problems on Hackerrank

Module 2
Working with Numpy Pandas and Matplotlib

How to read the documentation and understand packages

Learning most used packages in Data Science, Cr

Module 3
Data Wrangling: Data Exploration and Cleaning

Data exploration, cleaning and visualisation. Feature Engineering

Data Exploration on dataset like Titanic from Kaggle, cleaning the titanic dataset

Module 4
Machine learning Scikitlearn, Hyperparameter Tuning

Intro to Machine Learning Decision Trees, Random Forests, SVM, Ensembles: Bagging vs Boosting, Clustering for Unsupervised Learning K-Means on Two-Dimensional Data, K-Means on n-Dimensional Data /span>

Applying machine learning model on the above projects and submitting the solution on Kaggle, Cat Dog classification using SVM, Clustering movie Dataset

Module 5
Deep Learning

what is a neural network Implementing with ANN, CNN Implementing with ANN, CNN Intro to YOLO object detection

working on MNIST dataset and submit the solution on Kaggle https://www.kaggle.com/c/digit-recognizer Extra: Yolo Object detection

Skills you will Learn

1. Problems on Hackerrank
2. Plotting Crime Data using folium, and
most used Data Science packages
3. Data Exploration on dataset like Titanic
from Kaggle
4. Applying machine learning model on the
above projects and submitting the solution
on Kaggle
5. Cat Dog classification using SVM
6. Clustering movie Dataset
7. Working on MNIST dataset and submit
solution on Kaggle
https://www.kaggle.com/c/digit-recognizer
8. Extra: Yolo Object detection

Projects

1. Problem Solving Skills, Introduction to
Online judges and Python Syntax
2. How to read the documentation and
understand packages
3. Data exploration, cleaning and visualization
Feature Engineering
4. Intro to Machine Learning, Decision Trees,
Random Forests, SVM, Ensembles: Bagging vs
Boosting, Clustering for Unsupervised Learning,
K-Means on Two-Dimensional Data,
K-Means on n-Dimensional Data
5. Learn what is a Neural Network, implementing
with Artificial Neural Network, Convolutional
Neural Network.

Machine Learning Course

Mission | Machine Learning Course

Course Description

Prerequisites | Machine Learning Training

Course Content