Machine Learning Program

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time we dive deep into Machine Learning.

Python Programming

This is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer. 

Course Outline: 

  • Creating Your First Program in Python
  • Data Types: Classifying Data in Python
  • Implementing Input and Output Operations
  • Operators: Performing Logical and Mathematical Operations
  • Statements: Controlling the Flow of Program
  • Strings: A Sequence of Characters
  • Arrays: Arranging Similar Objects Systematically
  • Implementing Functions in Python
  • Lists and Tuples: Managing Data Systematically
  • Dictionaries and Other Data Structures
  • Recursion and Algorithms in Python

Machine Learning

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time we dive deep into Machine Learning. 

Course Outline: 

  • Data Preprocessing
  • Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Clustering: K-Means, Hierarchical Clustering
  • Association Rule Learning: Apriori, Eclat
  • Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

What's Included

  • Official Training
  • Certificate of Completion
  • Project – Python
  • Project – Machine Learning
  • Resume Building
  • Placement Assistance – Last Year Students

Expand your knowledge 

Weekly Seminars with Industry Experts, Mock Interviews & Resume Building.
Only at Network Nuts.