zeeshanmulla
Computer Data Sciences https://zeeshanmulla.me
https://medium.com/@zeeshanmullaNavi Mumbai, India
Pinned Repositories
Admission-Prediction-model
find the chance of admission of a candidate based on his/her GRE Score (out of 340), TOEFL Score (out of 120), rating of the University (out of 5) in which he/she is trying to get admission, Strength of the SOP (out of 5), strength of the Letter Of Recommendation (out of 5), CGPA (out of 10) and the research experience (0 or 1) deployed on GCP
AirQuality-Index-Project
A Project on prediction of Air Quality index from Data Collection, Data Pre-processing and applying Machine Learning Algorithms- Linear, Ridge and Lasso, Decision Tree, Random Forest, KNN, XGBoost...... AND applied TPOT just to see it work. *_*
Amazon-Review-Scraper
A python library to scrape data from amazon.com
awesome-public-datasets
A topic-centric list of HQ open datasets.
Azure-Deployment
AQI model deployed on AZURE cloud
Cat-Dog-Transfer-Learning
VGG on Cat Dog dataset using Transfer Learning.
Mobile-plan
Locking Unlocking system for mobile remote plan
Ontology-on-Q-A-for-Natural-Language-Processing
Question answering (QA) system aims at retrieving precise information from a large collection of documents against a query. The proposed architecture defines four basic modules suitable for enhancing current QA capabilities with the ability of processing complex questions. The first module was the question processing, which analyses and classifies the question and also reformulates the user query. The second module allows the process of retrieving the relevant ontological relations from the given question. The next module processes the retrieved words from question. Natural language processing techniques are used for processing the question and documents and also for answer extraction. Ontology and domain knowledge are used for reformulating queries and identifying the relations.
Pedestrain-Movement-Detection-Stream-using-Opencv
Streaming video of pedestrians movement using Opencv and microframework-flask
Time-Series-Analysis-With-Python-TSA-
A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.
zeeshanmulla's Repositories
zeeshanmulla/Time-Series-Analysis-With-Python-TSA-
A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.
zeeshanmulla/Mobile-plan
Locking Unlocking system for mobile remote plan
zeeshanmulla/AirQuality-Index-Project
A Project on prediction of Air Quality index from Data Collection, Data Pre-processing and applying Machine Learning Algorithms- Linear, Ridge and Lasso, Decision Tree, Random Forest, KNN, XGBoost...... AND applied TPOT just to see it work. *_*
zeeshanmulla/Admission-Prediction-model
find the chance of admission of a candidate based on his/her GRE Score (out of 340), TOEFL Score (out of 120), rating of the University (out of 5) in which he/she is trying to get admission, Strength of the SOP (out of 5), strength of the Letter Of Recommendation (out of 5), CGPA (out of 10) and the research experience (0 or 1) deployed on GCP
zeeshanmulla/Ontology-on-Q-A-for-Natural-Language-Processing
Question answering (QA) system aims at retrieving precise information from a large collection of documents against a query. The proposed architecture defines four basic modules suitable for enhancing current QA capabilities with the ability of processing complex questions. The first module was the question processing, which analyses and classifies the question and also reformulates the user query. The second module allows the process of retrieving the relevant ontological relations from the given question. The next module processes the retrieved words from question. Natural language processing techniques are used for processing the question and documents and also for answer extraction. Ontology and domain knowledge are used for reformulating queries and identifying the relations.
zeeshanmulla/Pedestrain-Movement-Detection-Stream-using-Opencv
Streaming video of pedestrians movement using Opencv and microframework-flask
zeeshanmulla/awesome-public-datasets
A topic-centric list of HQ open datasets.
zeeshanmulla/Azure-Deployment
AQI model deployed on AZURE cloud
zeeshanmulla/Cat-Dog-Transfer-Learning
VGG on Cat Dog dataset using Transfer Learning.
zeeshanmulla/Chatbot-of-Dictionary
Dictionary Chatbot on Slack using Amazon LEX, Amazon Lambda , Oxford Dictionary api
zeeshanmulla/Docker--Hub-Repo
Docker implementation with Hyper-V enabled pc, further will make use of Kubernetes which is container orchestration system for Docker containers & with Docker Swarm
zeeshanmulla/docs
The open-source repo for docs.github.com
zeeshanmulla/dvc-main
zeeshanmulla/exp
demo
zeeshanmulla/Exploratory-Data-Analysis-EDA
EDA on Titanic, Feature Selection Techniques on titanic dataset AND MANY MORE, Univariate, Bivariate, Multivariate analysis
zeeshanmulla/Heroku-Model-Deployment
Deployment of ML model using Heroku Platform As A Service
zeeshanmulla/login-and-register-system
login and register form with css html php
zeeshanmulla/Machine-Learning-Algorithms
ML Algorithms notebook with dataset. Will keep on Updating this Repo.
zeeshanmulla/Machine-Translation-Attention-Model-Based
Machine translation to convert human readable dates to machine readable dates. (MT) refers to fully automated software that can translate source content into target content of different type. Neural Machine Translation is method which utilizes neural networks to achieve this task.
zeeshanmulla/machineLearning
A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube
zeeshanmulla/mlops_main
zeeshanmulla/move
zeeshanmulla/R-Markdown-Kernel
R Markdown Kernel [](https://github.com/rstudio/rmarkdown/issues)
zeeshanmulla/Reviews-fom-ecommerce-website-scrapping-Local-and-Cloud-Deployment
project from web scrapping an ecommerce website product reviews (user required) till deployment of the model to local machine can be stored using MongoDb And deployment of same on cloud platform like Heroku, Azure.
zeeshanmulla/sign-language-alphabet-recognizer
Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).
zeeshanmulla/Time-Series-Bill-Prediction
Bill prediction (time series) for n number of years.
zeeshanmulla/Visualization
viz with Tableau & PowerBI
zeeshanmulla/Web-Scrapping
Web Scrapping with BeautifulSoup, urllib, Python Requests
zeeshanmulla/zeeshanmulla
zeeshanmulla/zeeshanmulla.github.io
Personal website.