Advanced Machine Learning & Data Science
About Course
Your Path to Becoming a Machine Learning Expert
Course Overview
Welcome to the ultimate journey into the realm of Machine Learning! In this comprehensive course, you’ll dive deep into the world of data sciences and unlock the potential of artificial intelligence. With 16 engaging lectures, 6 real-life projects, and 7 thought-provoking assignments, you’ll acquire the skills and insights needed to excel in this ever-evolving field.
Course Highlights
Delve into the heart of machine learning as you navigate through key concepts and practical applications. From mastering linear and logistic regression to unraveling the power of decision trees and random forests, this course leaves no stone unturned in your quest for expertise. Here’s a glimpse of what you’ll explore:
Introduction to Machine Learning
Embark on your journey by understanding the fundamentals of machine learning. Explore its role in data sciences and gain insights into its real-world applications.
Linear Regression
Become a prediction pro by mastering linear regression. Learn how to analyze data patterns and make accurate predictions using this foundational technique.
Logistic Regression
Dive into the world of classification with logistic regression. Discover its significance in categorizing data and making informed decisions.
Naive Bayes, KNN, and SVM
Equip yourself with an arsenal of algorithms. From the simplicity of Naive Bayes to the versatility of K-Nearest Neighbors (KNN) and the power of Support Vector Machines (SVM), you’ll unravel their unique strengths.
Decision Tree and Random Forest
Explore decision-making through decision trees and the collective intelligence of random forests. Understand how these tools amplify accuracy and enhance predictive capabilities.
Dimensionality Reduction
Navigate complex datasets with ease through dimensionality reduction techniques. Learn how to streamline data while preserving its essence.
Reinforcement Learning
Dive into the world of intelligent agents and rewards. Understand the principles of reinforcement learning and its applications in various domains.
Introduction to Deep Learning
Unleash the magic of neural networks and deep learning. Build, train, and optimize neural networks using frameworks like TensorFlow and Keras.
Real-life Projects and Hands-on Experience
Immerse yourself in real-life projects that bridge theory and practice. With 6 projects at your fingertips, you’ll tackle challenges in predictive analytics, image recognition, and more. This hands-on experience ensures you’re well-prepared to tackle data science challenges in the real world.AutoCAD For Electrical – Basic to Advance
Continuous Learning through Assignments and Assessments
Solidify your understanding through 7 carefully designed assignments. These assessments provide a platform for learning, growth, and refining your skills under the guidance of experienced mentors.Signals and Systems
Certification and Job Recommendations
Upon completing the course, you’ll receive a distinguished certificate, validating your expertise in Machine Learning. But that’s not all – we’re committed to your success beyond the course. Gain access to personalized job interview recommendations, giving you a competitive edge in your career journey.
Prepare to reshape industries and make your mark in the world of data sciences. Enroll now to embark on your transformative journey into the realm of Machine Learning and deep learning. Your future as a data science expert begins here.
Course Content
Introduction
- 19:42
- 22:10
Expository Data Analysis
33:54Quiz on Intro
Linear Regression
Linear Regression Multiple Variable
Logistic Regression
Naive Bayes
K-Nearest Neighbors (KNN
Support Vector Machine(SVM)
Decision Tree
Ensemble Learning
Handling imbalanced dataset
Unsupervised Learning
DB Scan
Dimentionally Reduction
REinforcement learning
Deep Learning
Final Projects
Earn a certificate
Add this certificate to your resume to demonstrate your skills.