Imagica
19 November 2021

Imagica

Location

online

Speaker

2 Professional
Speakers

Registration fee:

FREE

Days:

1 Day

About

Imagica is an online workshop by Chandigarh University in collaboration with Reskilll X Spark AR. Our motto is to visualize and materialize, from imagination to reality. Whether you are a beginner or an experienced pro we invite all the creators to learn about Spark AR Studio and match the frequency of reality you want to turn to reality. Build amazing Augmented Reality experiences and share them to reach billions of people on Facebook and Instagram.

We can’t wait to see what originates from your mind!

Benefits

  • Goodies from SparkAR
  • Learn something new and booming
  • Get to make effects that are used by instagram and facebook users
  • Networking

Imagica

Date: 19 November
Timing: Invalid Date - Invalid Date IST
Location: online
Speaker: 2 Professional
Speakers
Registration fee: FREE
Days: 1 Day

Speakers

Sarthak Jain
Sarthak Jain
Gunjan Paneri
Gunjan Paneri

Schedule

- IST
Spark AR Discussion and Creating an Effect

Introduction to Machine Learning.
- Supervised ML
- Unsupervised ML
- Semi-supervised ML
- Reinforcement Learning.
- Applications of Machine Learning.



2. Prerequisites for ML algorithms



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


3. Basic Algorithms :



  • LinearRegression
  • LogisticRegression
  • Naive Bayes


4. Evaluation Metrics for Classification:



  • ConfusionMatrix
  • Accuracy
  • Precision
  • Recall
  • F1score


5. Evaluation Metrics for Regression:
- MSE
- RMSE
- MAE



6. Hands-on-Machine Learning with python



  • Project: HeartDisease


Classification using Logistic Regression.
- CalculatingMetrics
- Inference from the model



7. Clustering Algorithms (Unsupervised)



  • HierarchicalClustering
  • KMeans,


8. Tree Based Algorithms:



  • Decision Trees
  • Random Forests


9. Q/A

Sarthak Jain