Artificial Intelligence and Data Science Engineering

Machine Learning

Rated 5 out of 5

Descriptions

Unlock the power of data with our comprehensive Machine Learning course, designed for both beginners and tech enthusiasts who want to explore the transformative world of artificial intelligence. Machine learning is a branch of AI that enables computers to learn from data and make predictions or decisions without being explicitly programmed. This course will provide you with a solid foundation in machine learning concepts, algorithms, and practical applications, preparing you to build intelligent systems that can analyze data, recognize patterns, and make informed decisions.

Key Points

Duration: 90 Hours / 24 Weeks

Duration: 1.5 Hrs

Curriculum

Introduction to ML, DL, DS and AI

Understand what is ML, DL, DS and AI

Data Preprocessing and Cleaning

Learn data cleaning techniques, handling missing values, normalization

Exploratory Data Analysis (EDA)

Perform EDA using Pandas, Matplotlib, and Seaborn

Introduction to Machine Learning

Understand supervised and unsupervised learning, key concepts in ML

Linear Regression

Learn linear regression and its application to predictive analysis

Classification Algorithms (Logistic Regression)

Understand logistic regression, classification tasks

Decision Trees and Random Forest

Learn decision tree and random forest algorithms

Support Vector Machines (SVM)

Introduction to support vector machines for classification

Clustering Algorithms (K-Means, DBSCAN)

Learn unsupervised learning with K-Means, DBSCAN clustering

Model Evaluation and Metrics

Evaluate models using metrics like accuracy, precision, recall, F1 score

Final Project: Build a ML Model

Apply all learned techniques to solve a machine-learning problem

Bonus Topic

Deep Learning