Course Title: Machine Learning
Duration: 5 Days
Timings: 9:00 am to 5:00 pm (UTC +5 / Pakistan Standard Time)
Pre-requisites: Fundamentals of Information Technology and Computer Sciences
Mode of Training: 1       CORVIT Campuses in Lahore, Karachi & Islamabad

2       Online (if required)

Language: 1       Training will be delivered in Urdu & English (optional) language

2       Training martial will be provided in English language

Training Basic Methodology: 1.     Theatrical knowledge

2.     Lab work

3.     Individual Assignments

4.     Group Assignments

5.     Assessments

6.     Certification Preparation (where applicable)

Training Martial: Soft copy (pdf format) of training martial will provide to all students.
Training Content: Day 1: 1       Machine Learning Introduction

2       Applications of Machine Learning

3       Math Review

4       Data Analysis – NumPy, Pandas

5       Data Visualization – Matplotlib, Seaborn, Plotly

Day 2: 1       Machine Learning Algorithms

2       Regression Algorithms

2.1      Simple Linear Regression

2.2      Multiple Linear Regression

2.3      Polynomial Regression

2.4      Support Vector Regression (SVR)

2.5      Decision Tree Regression

2.6      Random Forest Regression

3       Evaluating Machine Learning Regression Models Performance

Day 3: 1       Classification Algorithms

1.1  Logistic Regression

1.2  K-Nearest Neighbors (KNN)

1.3  Support Vector Machine (SVM)

1.4  Naïve Bayes

1.5  Decision Tree Classification

1.6  Random Forest Classification

2       Evaluating Machine Learning Classification Models Performance

3       Clustering

3.1  K-Means Clustering

3.2  Hierarchical Clustering

Day 4: 1       Deep Learning Introduction

2       Artificial Neural Networks (ANNs)

3       Convolutional Neural Networks (CNNs)

4       Recurrent Neural Networks (RNNs)

5       LSTM

Day 5: 1       Machine Learning Specialization

2       Computer Vision

3       Natural Language Processing

4       Complete Project and Deployment

NOTE : 70% Practical & 30% Theory