π± My GitHub Data
π¦ 117.8 kB Used in GitHub's Storage
π 0 Contributions in the Year 2024
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π 23 Public Repositories
π 0 Private Repositories
I'm a Night π¦
π Morning 25 commits βββββββββββββββββββββββββ 12.02 %
π Daytime 65 commits βββββββββββββββββββββββββ 31.25 %
π Evening 103 commits βββββββββββββββββββββββββ 49.52 %
π Night 15 commits βββββββββββββββββββββββββ 07.21 %
π I'm Most Productive on Friday
Monday 40 commits βββββββββββββββββββββββββ 19.23 %
Tuesday 37 commits βββββββββββββββββββββββββ 17.79 %
Wednesday 12 commits βββββββββββββββββββββββββ 05.77 %
Thursday 18 commits βββββββββββββββββββββββββ 08.65 %
Friday 70 commits βββββββββββββββββββββββββ 33.65 %
Saturday 13 commits βββββββββββββββββββββββββ 06.25 %
Sunday 18 commits βββββββββββββββββββββββββ 08.65 %
π This Week I Spent My Time On
ποΈ Time Zone: Europe/London
π₯ Editors:
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Last Updated on 09/06/2024 01:18:22 UTC
- ML Web App for Stock Market Prediction From Daily News With Streamlit and Python
- Design A Dynamic Data Dashboard with Tableau
- Visualize Decrease in Arctic Sea Ice Extent with Flourish
- Generate Synthetic Dataset with the Synthetic Data Vault (SDV)
- NLP on Data Science Interview Questions & Answers Dataset
- Glassdoor Data Science Job Salary Predictor with Machine Learning
- Custom SpaCy Model Deployment with AWS ECR, SageMaker, and Lambda
- Overview of Building a Merchant Name Cleaning Engine with SequenceMatcher and spaCy
- Quantum Physics Word Cloud from 1994 to 2009
- Udacity SQL Nanodegree
- Project-1: Created a report for the executive team on the topic of global & country-level deforestation by writing complex and advanced SQL queries.
- Project-2: Investigated a poorly designed database and re-designed a new, normalised and performant database and migrated over data from the previous database.
- Udacity Data Visualisation Nanodegree
- Udacity NLP Nanodegree
- Project-1: Built a spam email classifier using Naive Bayes algorithm that achieves Accuracy score: 0.988, Precision score: 0.972, Recall score: 0.941.
- Project-2: Built a hidden Markov model for part of speech tagging with a universal tagset that achieves a test accuracy of 95.95%.
- Project-3: Built a deep neural network end-to-end machine translation pipeline that accepts English text as input and return the French translation.
- Udacity Data Scientist Nanodegree
- Project-1: Created a machine learning pipeline that categorises real messages sent during disaster events into 36 categories that achieves an overall accuracy ~90%.
- Project-2: Collected and analysed a real user-article interaction dataset from IBM Watson Studio Platform and improves the user-article recommendation rate to ~95% with Final Matrix Factorization algorithm.
- Udacity Machine Learning Engineer Nanodegree
- Project-1: Trained and deployed an XGBoost model on AWS SageMaker for IMDB movie review sentiment classification which meets ~85% accuracy.
- Project-2: Built a plagiarism detector that examines a text file and performs binary classification by comparing containment and longest common subsequence with an accuracy of 96%.
- Project-3: Deployed a machine learning web app on Streamlit to predict the stock market sentiment with over ~2000 daily news headlines and reached a ~84% accuracy (fine-tuned random forest classifier) & 81% (baseline logistic regression model).
- Udacity Deep Learning Nanodegree
- Project-1: Built a simple neural network and used it to predict daily bike rental ridership on a timeseries dataset.
- Project-2: Created a CNN to Classify Dog Breeds (using Transfer Learning VGG16) with an accuracy of 84%.
- Project-3: Built a neural network (RNN & LSTM) that will generate a new ,"fake" TV script, based on patterns it recognizes in the training data.
- Project-4: Defined and trained a DCGAN on a dataset of faces to get a generator network and generate new images of faces that look as realistic as possible.