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Machine Learning

Course Name : Machine Learning

Batch Schedule : 04-Jan-2021   To   05-Feb-2021

Schedule : Monday to Friday

Timings : 08:00 AM  To  10:00 AM

Fees : Rs. 5500/- (Inc.18% GST)

  • Students
  • Fresher's
  • Working Professionals
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  • Quick Introduction To Statistics
    • Statistical Inference
    • Types Of Variables
    • Probability Distribution
    • Normality
    • Measures Of Central Tendencies
    • Normal Distribution
  • Introduction To Machine Learning 
    • Introduction To AI
    • ML Applications
    • Types Of Machine Learning - Supervised, Unsupervised, Reinforcement
    • How To Develop End-To-End ML Project
  •  Prepare the Data
    • Collecting Data From Different Sources
    • Data Exploration
    • Data Cleaning
    • Feature Selection VS Feature Extraction
  • Dimensionality Reduction 
    • The Curse Of Dimensionality
    • Discriminant Analysis: LDA and QDA
    • Different Approaches: PCA and Kernel PCA
  • Training Models
    • Regression Analysis
    • Training Data
    • Performance Measures
    • Algorithms Like Linear Regression, Polynomial Regression
  • Classifications
    • Training a Binary Classification
    • Performance Measures
    • Confusion Matrix
    • Precision/ Recall Trade-off
    • The AUC-ROC Curve
    • Multi-Class/Multi-Labelled Classification
  • Support Vector Machines
    • Linear SVM Classification
    • Nonlinear SVM Classification
    • SVM Regression
  • Decision Trees
    • Training and Visualizing a Decision Tree
    • Making Predictions
    • Estimating Class Probabilities
    • CART Training Algorithm
    • Gini Impurity or Entropy
    • Regularization Hyperparameters
  • Ensemble Learning
    • Voting Classifiers
    • Bagging: Random Forest
    • Boosting: Adaptive Boosting, Gradient Descent, Extreme Gradient Descent
  • Deep Learning
    • What is Deep Learning
    • Neural Network: ANN, CNN, RNN
    • Image Recognition Using CNN.
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  • Python programming: fundamentals, numpy, pandas, matplotlib
  • Statistics Fundamentals
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  • You will be able to understand when, where and how to use ML
  • You will be able to solve problems related to regression, classification, AI, etc.
  • You will be able to create models which can be used in desktop and mobile applications
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  • Course does not cover the following:
    • Python Programming Syntax, even though entire ML programming will be done in Python. (Join prerequisite course: python-development)
    • Statistics behind ML algorithms, however foundations of descriptive & inferential statistics are covered exclusively (Refer syllabus).
    • Web technologies, however serving ML model in the web application is covered.
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  • Python 3.x
  • IDE: Pycharm
  • Packages: numpy, pandas, scikit, pytorch, keras, flask
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The excellent teaching style and excellent understanding of teaching topics. What I like the most about the course is how Amit Sir helps to improve visualization of code using proper diagrams and images. Also, proper sequencing of sample examples helps to revise the topic in the future. It’s good that sir gives more time on basic topics in the beginning so that the foundation is strong. Your knowledge and leadership provide us with a priceless model for our own careers. I am so happy you are part of my education. I learned to truly care about diversity and inclusion through your classes, and I hope now spread that message in a passionate but thoughtful way. You’re awesome!


Amazing skill of teaching and a very well structured course for people to start to learn to machine learning. The assignments are very good for understanding the practical side of machine learning. To all those thinking of getting in ML, this is a must-have course. Kindly continue these online sessions post COVID-19 pandemic. It's really helpful for those who cannot come to the institute due to timing issues /working out of Pune etc. but willing to learn from you all.

Thank You.


Kudos to Sunbeam and Amit Sir again, for conducting Machine Learning with Python course in such a great manner. Amit Sir teaching as always is very precise and he goes out of this schedule to answer and cover, each and every doubt of the students and the topic in the syllabus. The course was also extended by a week, so as to cover all the topics in a meticulous manner.

Thank you Amit Sir and Sunbeam once again :)

 

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Sr.No Batch Code Start Date End Date Time
1 ML-O-03 04-Jan-2021 05-Feb-2021 08:00 AM  To  10:00 AM

Schedule : Monday to Friday

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Contact us

Sunbeam Market Yard Pune

'Sunbeam Chambers', Plot No.R/2, Market Yard Road, Behind Hotel Fulora, Gultekdi,    Pune - 411 037. MH-INDIA.

+91 7410 071 951 / 7410 071 952
Sunbeam Hinjawadi Pune

Authorized Training Center of C-DAC

"Sunbeam IT Park", Phase 2 of Rajiv Gandhi Infotech Park,Hinjawadi, Pune - 411057, MH-INDIA

+91 7410 071 951 / 7410 071 952
Sunbeam Karad

Authorized Training Center of C-DAC

'Anuda Chambers', 203 Shaniwar Peth, Near Gujar Hospital, Karad - 415 110,     Dist. Satara, MH-INDIA.

02164 - 225500 / 225800