Machine Learning Course

In order to cater to rising demand for AI professionals, Tech Concept Hub is providing practical based machine learning and AI courses in Pune, India.

Objective of this machine learning course in Pune is to help leaners start their career in machine learning field. Through hands on project on industry application of machine learning, learners will acquire needed skills to start career in machine learning field.

This course is not just to help you learn machine learning but to actually transition your career into machine learning field. We bring together technical skills, industry exposure and career opportunities to help learners get job in the field of machine learning & AI. Our program provides a perfect platform to transition career into machine learning field.

Key Topics in our Machine Learning Course:

• Deep learning course is designed to equip individuals with robust foundation for understanding and applying deep learning techniques across various domains. Real-world problem solving and applications of deep learning.
• Python, SQL, Visualization
• Python coding, Database management, Power BI
• Machine Learning Modles
• Regression analysis, Decision tree, Bayes theorem, Random forest, Clustering, Time series, Big data
• Machine Learning in Cloud
• Cloud services for machine learning, Big data & Hadoop
• Artificial Intelligence
• Understanding AI, Industrial application of AI, Capstone projects

Syllabus:

• Introduction to Python Programming
• ● Starting with Python Programming
• ● Basic Python Syntax and Variables
• ● Control Structures and Functions
• Data Structure
• ● Lists, tuples, and dictionaries
• ● Iterating through lists, tuples, and dictionaries
• ● Sets and Frozen sets
• ● Basic Set O1575perations (union, intersection, difference)
• Advance Python Programing
• ● File handling (CSV and JSON files)
• ● Exception handling
• ● Regular expressions and their applications in Python
• Python Library
• ● Pandas
• ● NumPy
• Statistical Concepts & Application
• ● Descriptive Statistics
• ● Data Visualization
• ● Probability Basics
• ● Probability Distributions
• ● Probability Distributions Sampling
• ● Inferential Statistics
• ● Sampling techniques and the Central Limit Theorem
• ● Hypothesis testing: t-tests, chi-square tests, ANOVA
• SQL Basics & Advance SQL
• ● SQL Overview
• ● SQL DDL Commands
• ● Constraints
• ● SQL DML Commands
• ● Querying and Data Manipulation
• Data Visualization
• ● Data Visualization with Matplotlib
• ● Data Visualization with Seaborn
• ● Data Visualization with Power BI
• Clean, transform, and load Data in Power BI
• Design a data Model in Power BI
• Introduction to Creating Measures using DAX in
• Power BI
• Optimize a Model for Performance in Power BI
• Work with Power BI visuals
• Create a data-driven story with Power BI Reports
• Create Dashboards in Power BI Introduction to
• dashboards
• Create Paginated Reports
• Scikit-learn
• ● The Predictive Modeling Pipeline
• ● The Predictive Modeling Pipeline
• ● Hyperparameters tuning
• ● Linear Models
• ● Decision Tree Models
• ● Ensemble of Models
• ● Evaluating Model Performance
•  Capstone Project