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Machine Learning & AI Course Syllabus
Learn Python programming for Machine Learning & AI
Python programming
- Starting with Python Programming
- Basic Python Syntax and Variables
- Control Structures and Functions
- Statistical Concepts & Application
Data Structure
- Lists, tuples, and dictionaries
- Iterating through lists, tuples, and dictionaries
- Sets and Frozen sets
- Basic Set operations (union, intersection, difference)
Data Structure Advance Python Programming
- File handling (CSV and JSON files)
- Exception handling
- Regular expressions and their applications in Python
Python Library
- Pandas
- Numpy
Statistical Concepts & Application
- Descriptive Statistics
- Probability Distributions Sampling
- Inferential Statistics
- Sampling techniques and the Central Limit Theorem
Machine Learning Concepts
Fundamentals of Machine Learning
- Supervised Learning, Unsupervised Learning , Reinforcement Learning
- Introduction to Scikit-learn
Linear Regression
- Correlation, Regression, Model Assumptions, Estimation Process
- Least Squares Method, The Coefficient of Determination
- Multiple Regression Analysis
- F-test for the overall fit of the model
Logistic Regression Analysis
- When and why use Logistic Regression?
- Binary & Multinomial
- Interpreting Logistic Regression
- The logistic function & Interpretation
- Methods for including variables
- Logistic Regression Model using Python
Mini Project 1
Decision Trees
- Understanding the Concept
- Tree induction: Construction of the tree
- Classification Trees, Entropy, Selecting Attribute, Information gain
- Overfitting Causes & Prevention
- Reduced Error Pruning
- Decision trees – Advantages & Drawbacks
- Ensemble Models
Random Forests
- Ensemble Methods – Bagging, Boosting & Random Forests
- Ensemble Classifiers & Models
- Random forest operation & Algorithm
- Features, Advantages and Disadvantages
- Limitations of random forests
- Gradient Boosted Decision Trees
K-Nearest Neighbor (K-NN)
- Non-parametric methods, k-Nearest Neighbor Estimator
- How to Choose k or h, Strengths and Weaknesses
K-Means Clustering
- Clustering / Direct Clustering Method
- Mixture densities, Classes v/s Clusters, Non-Hierarchical Clustering
- K-Means / Distance Metrics, K-Means Algorithm
Mini Project 2
Bayesian Theory
- Axioms of Probability Theory, Conditional Probability , Independence Joint Distribution
- Baye’s Rule, Bayesian Categorization, Generative Probabilistic Models
- Naïve Bayes Generative Model, Naïve Bayesian Categorization
Machine learning in cloud
- Cloud Services & Features
- Scripting in Google Cloud Hands on labs
- Accessing Machine Learning Services
- Getting Data, Preparation of data
- Applying Machine Learning Algorithm
- Publishing Models
- Deploying ML models on Google cloud
Final Project 3
Overview of 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.
Training Enquiry Form
We are happy to help you
Our Machine Learning course is designed to give you practical experience.
Key Topics in our Machine Leaning 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
Our Machine Learning Course is designed to meet current market demand.
As companies are increasingly realizing the transformative power of AI hence more and more companies are utilizing machine learning/ AI to automate, improvise and cut cost. As companies are embracing machine learning and its capabilities hence demand for skilled professional who can develop, implement and manage AI solutions is increasing rapidly.
Designing an AI solution requires industry experience and deep knowledge on various aspects. Those who are not working in AI field do not know how to enter in the field of AI. Through this course, we give you exposure to industrial application of AI and also train you on underlying technologies.
Course curriculum covers various technologies including python, database management, data mining, visualization, trend analysis, recommendation engine, regression analysis etc. We prepare you for AI roles in various MNCs by giving hands on experience of AI based industry solutions. After training, learners can apply to various AI job roles in Pune, Mumbai, Bangalore etc.
What is the expected outcome of this Machine Learning course?
After completing this machine learning course, you will have technical skills and exposure to real business use cases of machine learning. Through hands on practical on real scenarios, you will gain deep knowledge in all aspects of machine learning. Post completion of course, you will be able to apply for various jobs. Post this course you will be able to start your career in ML & AI.
As a learner, you expect to get a job in machine learning field. Same is our target, we work initially on you technical skills then work to match your profile with suitable job opening. This course lays down structured path for you to follow and start your career in machine learning field.
What is the prerequisite to learn machine learning?
Machine learning deals with huge amount of data and to analyze data you need skills python, database management, cloud services. Understanding of statistics is important to implement any machine learning algorithm.
Prior coding background does help a lot. Even if no proper coding knowledge still python can be learned in 2 weeks time.
I do not know coding, Can I still learn machine learning & AI?
Implementing machine learning models need technical skills like Python & database management. One needs to learn python coding and database management skills like SQL. Rest other skills like statistics, analysis and cloud services do not require coding.
Can I learn Machine leanring & AI in 3 months?
Yes, duration of our machine learning course in Pune is 3 to 4 months. In this training program, you will learn all skills needed to get job in the field of machine learning.
Machine learning course is online or classroom?
For learners who are staying in Pune or nearby Pune area, we are offering classroom training program of Machine learning and Artificial Intelligence.
We also have online classes available.
What will I learn in this course? Will I work on any AI project in this course?
Demand for machine learning professionals is increasing by 30% every year. There is a huge demand for ML professionals but there is shortage of resources who are having practical exposure or needed knowledge.
Our Machine Learning course is aligned with the current market demand, ensuring that participants acquire the most relevant and in-demand skills in the field of Machine learning. We focus on practical implementations, industry best practices and real-world use cases, our curriculum will prepare learners to tackle complex challenges. Multiple capstone projects are part of the curriculum to give hands on experience to learners. Our training program covers in-depth discussion on industry application of ML & AI.
Recruiters mainly look for technical expertise, problem solving skills and communication skills. As an institute we take care of technical and analytical aspects. Our training program will make you a technically sound candidate with good ML skills.
Is trainer working in ML field? What is the trainer profile?
Yes, Machine learning trainer is currently working as AI expert in a MNC in Pune. He has completed multiple AI projects and currently leading a team of AI professionals. Trainer has conducted multiple college seminars and corporate workshops.