Highlights ⭐
Highlights from Github Portfolio ...
Transformers Essentials - Part 2!
1. Fine-Tuning (Intermediate)
Deep Learning Fundamentals
Deep Learning Fundamentals
Transformers & Attention vc
Lesson 1 - Attention Mechanism with Pictures Lesson 2 - Attention Mechanism with Math Lesson 3 - Transformer Model
Transformers Essentials - Part 3!
1. Transformers Theory
Transformers Essentials - Part 1!
1. Welcome
Cloud & DevOps Essentials!
Cloud & DevOps Essentials!
DevOps Essentials!
1. DevOps
PyTorch Assignments
PyTorch: Deep Learning and Artificial Intelligence
Sarcasm Detection in News Headlines
Introduction
Implement Logistic Regression from Scratch
Link : Implement Logistic Regression from Scratch
(NOTES) Sequence Models
5. Sequence Models:
Apache Spark with Scala
Apache Spark & Scala
(NOTES) Convolutional Neural Networks
4. Convolutional Neural Networks:
Hugging Face Transformers 🤗
Hugging Face Transformers 🤗
(NOTES) Structuring Machine Learning Projects
3. Structuring Machine Learning Projects:
(NOTES) Hyperparameter Tuning, Regularization and Optimization
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:
(NOTES) Neural Networks and Deep Learning
1. Neural Networks and Deep Learning:
Recommender Systems for Movies
Introduction
Anti Money Laundering (AML) / Fraud Detection
Introduction
Object Oriented Programming in Python
```python class SupervisedEstimator(…):
Time Series Forecasting with Exogenous Features
Link : Time Series Forecasting with Exogenous Features
RShiny App for Video Games / Movies / TV Shows
Link : RShiny App for Video Games / Movies / TV Shows
Tennis Player Recognizer Vision AI
Creating your own dataset from Google Images
Gradient Descent Traceback
Introduction
Airbnb Zillow House Listings
Link : Airbnb Zillow House Listings
KMeans Clustering on Wine Attributes
Link : KMeans Clustering on Wine Attributes
System Design
Hey its a sample doc
Recommendations for a Sample User
Hey its a sample doc
Popularity Based
Hey its a sample doc
Matrix Factorization
Hey its a sample doc
Metric Definitions
Hey its a sample doc
Hybrid
Hey its a sample doc
Evaluating Recommender Systems
Hey its a sample doc
Recommenders with Deep Learning
Hey its a sample doc
Content Based
Hey its a sample doc
Real-World Challenges
Hey its a sample doc
Collaborative Filtering
Hey its a sample doc
Case Studies
Hey its a sample doc
Approaches
Hey its a sample doc
Book Recommendation Engine using GraphLab
Link : Book Recommendation Engine using GraphLab
Bayesians vs Frequentists!
1.) Frequentist View of Probability The probability of an event (ex - observing an odd number on rolling a six faced die) is its relative frequency among all...
Football History Time Lapse
Introduction
Unix Essentials!
pwd (print working directory)
Inside18yard: Web Scraping
Inside18yard: Football News Aggregator through Web Scraping
Inside18yard: Football Tweets Streaming
Inside18yard: Football Players’ Popularity Analysis through Twitter Streaming API
HELLO WORLD!! :)
Hi everyone! My first post, super excited! Hope to get to the bottom of things with evidence from data!!