Hello test
1 January 2019

Hello test

Location

online

Speaker

1 Professional
Speaker

Days:

1 Day

About

Hello test

Date: 1 January
Timing: 1:00 AM - Invalid Date
Location: online
Speaker: 1 Professional
Speaker
Days: 1 Day

Speakers

sd
sd
a

Schedule

1:00 AM - 12:undefined AM
1asasa

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

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