Portfolio
Note: This repository is for showcasing my skillset. In most of the projects, to reproduce the results, data will be required. For data, kindly send me email at "wiqaaas@gmail.com".

The work in this repository is arranged in Eight categories i.e.

Deep Learning using Tensorflow | Machine Learning using Python | Exploratory Data Analysis and Visualization using Python | Databases and Web Scraping using Python | IT Automation using Python | OpenCV using Python | IBM Watson API for AI Applications | Tutorials

**Each Category is further subdivided in following way:**

**Deep Learning using Tensorflow**

1. Advanced Computer Vision

   • Image Captioning
   • Image Generation using GAN
   • Image Generation using Variational AutoEncoders
   • Image Morphing
   • Image Retrieval
   • Image DeNoising using AutoEncoders
   • Image Segmentation using U-Net
   • Imbalanced X-ray Classification
   • Modern CNN Architectures in Tensorflow
     • Basic CNN in Tensorflow
     • InceptionV3 in Tensorflow
     • ResNet50 in Tensorflow
   • Demystifying CNN
     • Gradient Visualization with Classification Activation Maps
     • Practice CNN Filters

2. Natural Language and Sequence Processing

   • Text Generation
   • Text Classification with Word Embeddings
   • Other Sequential Data Processing
     • SunSpot Prediction using CNN_LSTM
     • Time Series Prediction

3. Different AutoEncoders

   • Convolutional AutoEncoders
   • Sparse AutoEncoders
   • Simple PCA AutoEncoders

4. Using Multiple Sources of Data

   • Multiple Inpute Single Output
   • Single Input Multiple Output

**Machine Learning using Python**

1. Machine Learning using Libraries

   • Machine Learning using Scikit Learn
   • Machine Learning using Turicreate

2. Machine Learning from Scatch Development

   • Regression, Classification, and Clustering Algorithms

     • Neural Network based Algorithms

       1. Deep Neural Networks
       2. Graph Neural Networks

     • Tree based Algorithms

       1. Binary Decision Trees
       2. Regularized Binary Decision Trees

     • Neighborhood based Algorithms

       1. Adaptive Nearest Neighbors

     • Linear Regression based Algorithms

       1. Multiple Regression using OLS and Gradient Descent
       2. Logistic Regression using Maximum LIkelihood and Gradient Ascent
       3. Logistic Regression using Stochastic Gradient Ascent

     • Fuzzy Logic based Algorithms

       1. Fuzzy C-means Clustering
       2. Fuzzy C-means Global and Local Regression
       3. Adaptive Neuro Fuzzy Inference Systems

     • Geostatistics based Algorithms

       1. Ordinary Kriging

   • Ensembling and Regularization

     • AdaBoosting Decision Trees
     • Ridge Regression using Gradient Descent
     • Lasso Regression using Coordinate Descent

   • Recommendation Systems

     • Movie Recommendation System
     • Search Engine Recommender
     • Simulated Annealing based Mining Recommendader

   • Risk Analysis (Time to Event Data)

     • Kaplan Meier Estimates
     • Cox Prop Hazards and Survival Forests
     • C-Index Evaluation Metric

3. Machine Learning Utilities

   • Holdout Grid Search
   • Evaluation Metrics for Classification
   • Precision and Recall Tradeoff
   • Bias Removal with Declustering

4. Feature Engineering

   • Feature Selection using LASSO
   • Machine Learning Interpretation using SHAP

**Exploratory Data Analysis and Visualization using Python**

1. Data Exploration and Analysis using Python

   • Data Analysis Capstone
   • Analysis using Pandas
   • Analysis using Sql
   • Time Series Data Analysis
   • Spatial Analysis

2. Data Visualization using Python

   • Complete Interactive and Non-Interactive Visualization Capstone

**Databases with Web Scraping using Python**

1. Capstone Projects

   • sqlite for pagerank algorithm
   • sqlite for Mailing List
   • sqlite for GeoSpatial Data</b

2. Basic Web Scraping

   • google maps api
   • html parsing
   • json data extraction
   • xml data extraction

3. Reading Different Document Formats

   • sqlite from xml files
   • sqlite from json files
   • sqlite from text files

**IT Automation using Python**

1. Interaction with Operating System

2. File Processing

3. Unit Testing

**OpenCV using Python**

1. Basic Image Processing

2. Facial Recognition System

**IBM Watson API for AI Applications**

1. Chatbots

2. Visual Recognition

**Tutorials**

1. Complete Python Object Oriented Programming

2. Command Line Games using Python

3. Introductory Numpy, Pandas, and Scipy Tutorials