Summer School in Machine Learning with Python

[Amit]

Summer School in Machine Learning with Python

Overview

In this course, we will begin with an introduction to Python programming, covering variables, lists, tuples, dictionaries, functions, and loops. Next, we will explore relevant Python libraries such as NumPy, Matplotlib, Pandas, Scikit-learn, and Scipy to analyze, manipulate, and visualize data. Following this, we will review key mathematical concepts needed for machine learning, including linear algebra and multivariable calculus, and demonstrate their use in optimization tasks using Python. We'll then review some probability concepts and see how to use simulation in economics. You'll learn numerical methods such as Newton Raphson and Gradient Descent to solve optimisation problems. We will then apply all of the above to perform machine learning tasks such as supervised learning (including linear regression, logistic regression, and neural networks) and unsupervised learning (clustering). 

Learning Outcomes

• You'll learn how to program in Python.
• Use Python to solve interesting Linear Algebra, Calculus, Linear Programming, Assignment problems and Optimization problems.
• Visualising probability distributions that are widely used in statistics and data science.
• How to make good predictions and think conditionally.
• Problem solving strategies.
• Using Python to run simulations and solve probability and Economics problems.
• You'll learn how to design experimental studies and collect and analyze data from those experiments.
• You'll learn how to perform Machine Learning tasks such as Linear and Logistic Regression, Neural Networks and Clustering.

Grading Rubric

Your course score will be determined as the following weighted average: 

• Assignments (50%) : There are 5 homeworks in this course. 
• Final (50%)

If you score  50%, you'll get the certificate of completion.

Course Duration

01 July - 15 Aug 2023

LIVE Classes

Around 4 hours of lecture every Sunday - (Total Lecture Time: 30 hours)

Venue

YWCA of Delhi, Ashoka Road*

Course Fees

INR 50,000/-

*You also have an option to attend the class online.

To apply, visit: https://www.econschool.in/apply/short-courses

We'll send you the registration link soon.

[Amit]

Summer School in Machine Learning with Python 

- You'll learn how to program in Python.
- Use Python to solve interesting Linear Algebra, Calculus, Linear Programming, Assignment problems and Optimization problems.
- Visualising probability distributions that are widely used in statistics and data science.
- How to make good predictions and think conditionally.
- Learn how to approach the problem properly keeping in mind the objective and the constraints.
- Learn to read the documentation and solve problems independently.
- Using Python to run simulations and solve probability and Economics problems.
- You'll learn how to design experimental studies and collect and analyze data from those experiments.
- You'll learn how to perform Machine Learning tasks such as Linear and Logistic Regression, Neural Networks and Clustering.

Classes will be offered in a hybrid mode, allowing you to attend either online or in-person. The sessions will be conducted only on weekends so that it is feasible for most of you. The approach will be the problem-solving approach. It is a great opportunity to learn the above content in a fun and engaging way. College students (BA/MA/PhD), teachers, and professionals alike have an exceptional opportunity to take advantage of this offer. Upon satisfactory performance in the homework and final exam, you can earn the certificate of completion.

Apply here: https://www.econschool.in/apply/workshops

[Sakshi Bhayana]

Discount please! Discount please! To your old students 

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[Amit]

I cannot promise the discount at the stage (I'll think about it and get back to you), but just like my other programs I can assure you that there is a lot of value in it which would mean good amount of consumer surplus (and eventually good amount of producer surplus in future, if you use this well). So it is a very good investment.

[Amit]

Summer School on Machine Learning with Python is a program covering Python programming lessons with applications in Optimization, Linear Algebra, Probability and Statistics, and Machine Learning. The program follows a problem-solving approach, providing a fun and engaging way to learn the content. It's an excellent opportunity for college students (BA/MA/PhD), teachers, and professionals to benefit from. Upon satisfactory performance in the homeworks and final exam, participants can also earn a certificate of completion. Additional details are posted here: https://econschool.in/apply/workshops Here is the payment link to pay the fee: https://rzp.io/l/mlpy

Here is the schedule: Session dates: 02, 09, 16, 23, 30 July, 06, 13, 20 Aug (On Sundays) 

Timings of each session: 2.30 PM - 6.00 PM (IST) 

Duration of each session: 3.5 hours 

If you have any questions, please feel free to contact us on this number: +91 9818517101.

Here is a sample video on understanding the testing metric for Logistic Regression Models:

https://drive.google.com/file/d/1atarKzcAV2eRDkT433CIls0YntbrS_Wr/view?usp=sharing