Advanced Machine Learning & Data Science

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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.

What Will You Learn?

  • Dataset Upload
  • Linear Regression
  • Logistic Regression
  • KNN
  • SVM
  • Decision Tree
  • Reinforcement Learning
  • Unsupervised Learning
  • Deep Learning
  • Price Prediction
  • Admission Prediction
  • Stroke Prediction
  • and so on..

Course Content

Introduction

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

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