.svg)
Learn to create Machine Learning Algorithms from Data Science experts. Code templates included.
For IT & Computer science Engineers
Course Type :
₹ 20221
Topic 1 | Introduction to Machine Learning
Topic 1 | Introduction to Machine Learning
Topic 2 | What Is Machine Learning
Topic 2 | What Is Machine Learning
Topic 3 | Meachine Learning Type
Topic 3 | Meachine Learning Type
Topic 4 | Machine Learining Vs Deep Learning
Topic 4 | Machine Learining Vs Deep Learning
Topic 5 | Hardware Dependency
Topic 5 | Hardware Dependency
Topic 6 | Problam Solving Approach
Topic 6 | Problam Solving Approach
Topic 7 | Jupyter Notbook
Topic 7 | Jupyter Notbook
Topic 8 | Installation
Topic 8 | Installation
Topic 9 | Machine Learning Algorithm
Topic 9 | Machine Learning Algorithm
Topic 10 | Anomaly Detection Algorithm
Topic 10 | Anomaly Detection Algorithm
Topic 11 | Clustering Algorithm
Topic 11 | Clustering Algorithm
Topic 12 | Regeression Algorithm
Topic 12 | Regeression Algorithm
Topic 13 | Stat & Probability for Machine Learning
Topic 13 | Stat & Probability for Machine Learning
Topic 13 | Stat & Probability for Machine Learning
Topic 14 | What is Statistics?
Topic 14 | What is Statistics?
Topic 15 | Type of Sattistics
Topic 15 | Type of Sattistics
Topic 16 | Probability
Topic 16 | Probability
Topic 17 | Inferential Statistics
Topic 17 | Inferential Statistics
Topic 18 | Supervised Learning
Topic 18 | Supervised Learning
Topic 19 | Linear Regression
Topic 19 | Linear Regression
Topic 20| Logistic Regression
Topic 20| Logistic Regression
Topic 21 | Decision Tree
Topic 21 | Decision Tree
Topic 22 | Random Forest
Topic 22 | Random Forest
Topic 23 | Naive Bayes Classifier
Topic 23 | Naive Bayes Classifier
Topic 24| Q -Learning
Topic 24| Q -Learning
Course Description
Machine learning is an area of artificial intelligence and computer science that covers topics such supervised learning and unsupervised learning and includes the development of software and algorithms that can make predictions based on data. Machine Learning is implemented where programming or developing an efficient algorithm is problematic or not feasible. Machine Learning is revolutionizing the computing ecosystem.
Course objectives
The objective of this training program is to understand how machines can learn from its past experience which is considered as the core of AI. We focus on creating strong fundamental knowledge sets on building algorithms by mastering the principles of statistical analysis.
Roles in industry
Course Highlights
Copyright © 2025 ABCTrainings - All rights reserved
