Home - engr-swati-sharma/Applied-AI-Assignments-Case-Studies GitHub Wiki

As a part of completing the coursework prescribed by the Applied-AI-Course, I have compiled all the latest work submitted by me on the Baymax classroom.

Optional Assignment

Initially 2 optional assignments were done:

1. Python Practice Questions
2. Pandas Practice Questions

SQL

Additionally, a mandatory SQL assignment was done.

Data Visualization

In the beginning of the course, Exploratory Data Analysis and Dimensionality Reduction assignments were done.

Supervised Learning

Later on, when diving into the course total 7 Supervised Machine Learning assignments were done:

1. k-Nearest Neighbour
2. Naive Bayes
3. Logistic Regression
4. SGD for Linear Regression
5. Support Vector Machines
6. Decision Trees
7. Random Forest- Gradient Boosted Decision Trees

Unsupervised Learning

Also, Unsupervised Machine Learning assignments were done:

1. k-Means, Agglomerative Hierarchical and DBSCAN Clustering
2. Truncated Singular Value Decomposition

Deep Learning

Later on Deep Learning was done:

1. Keras and Tensorflow
2. Contd.

Supervised Learning Case Studies

Some Supervised Machine Learning Case Studies were also done:

1. Quora Question pair Similarity
2. Personalized Cancer Diagnosis
3. Facebook Friend Recommendation

Work under construction..