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ML Marathon
1 October 2022 - 2 October 2022

ML Marathon

Location

online

Speaker

1+ Professional
Speakers

Registration fee:

FREE

Days:

2 Days

About

ML Marathon

Date: 1 October - 2 October
Location: online
Speaker: 1+ Professional Speakers
Registration fee: FREE
Days: 2 Days
Register Now

Speakers

Pallavi Pannu
Pallavi Pannu
Data Scientist at KPMG Global Services

Schedule

12:00 - 12:30
Introduction to Machine Learning

  1. Supervised ML
  2. Unsupervised ML
  3. Semi-supervised ML
  4. Reinforcement Learning
  5. Applications of Machine Learning.

Pallavi Pannu

Data Scientist at KPMG Global Services

12:30 - 13:00
Prerequisites for ML algorithms

  1. Regression and Classification idea with real life examples.
  2. What is a model and how does a model work ?
  3. How to define the Loss function for any problem?
  4. How do we assess the performance of a model ?

Pallavi Pannu

Data Scientist at KPMG Global Services

13:00 - 14:00
Basic Algorithms

  1. Linear Regression
  2. Logistic Regression
  3. Naive Bayes

Pallavi Pannu

Data Scientist at KPMG Global Services

14:00 - 14:40
Evaluation Metrics for Classification

  1. Confusion Matrix
  2. Accuracy
  3. Precision
  4. Recall
  5. F1 score

Pallavi Pannu

Data Scientist at KPMG Global Services

12:00 - 12:20
Evaluation Metrics for Regression

  1. MSE
  2. RMSE
  3. MAE

Pallavi Pannu

Data Scientist at KPMG Global Services

12:20 - 13:00
Hands-on-Machine Learning with python

  1. Project : Heart Disease Classification using Logistic
    Regression.
  2. Calculating Metrics
  3. Inference from the model

Pallavi Pannu

Data Scientist at KPMG Global Services

13:30 - 14:00
Clustering Algorithms (Unsupervised)

  1. K Means
  2. Hierarchical Clustering

Pallavi Pannu

Data Scientist at KPMG Global Services

14:00 - 14:30
Tree Based Algorithms

  1. Decision Trees
  2. Random Forests

Pallavi Pannu

Data Scientist at KPMG Global Services

14:30 - 14:50
Q/A

Pallavi Pannu

Data Scientist at KPMG Global Services