What is Machine Learning?
Machine Learning is the field of study that empowers machines to learn without explicit programming. ML is one of the most innovative developments one’s ever seen.
ML Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using Python and R. Data Science Training encompasses a conceptual understanding of Statistics, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
Course Outcome: –
On completion of this course, the students will be able to
Understand the basic concepts of ML.
Understand how to use different python libraries in ML.
Work with different Regression and Classification Algorithms.
Perform syntax and semantics in ML with Python.
Ability to design and analyse various ML algorithms.
Apply different concepts of ML in other application areas.
Session 1 Introduction:–
What is Machine Learning?
Applications of Machine Learning
ML Types of Learning- Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning
Session 2 Data Pre-processing:–
Session 3 Regression:–
Introduction to Regression
Types of Regression
Simple Linear Regression
Multiple Linear Regression
Decision Tree Regression
Random Forest Regression
Session 4 Classification:–
Basic Concept of Classification
Classification vs Regression
Decision Tree Classification
Random Forest Classification
Session 5 Clustering: –
Session 6 Natural Language Processing: –
Case Study: Document Classification
Session 7 Deep Learning:–
Artificial Neural Networks
Convolutional Neural Networks
Session 8 Dimensionality Reduction:–
Introduction to Dimensionality Reduction
Principal Component Analysis (PCA)
1.Basic of any programming knowledge but Python is preferred.
2.The student should have good logical and reasoning skill.
Duration & Timings :
Duration – 30 Hours.
Training Type: Online Live Interactive Session.
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 5 Weeks. April 1, 2023.
Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 4 Weeks. April 24, 2023.
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