Co-authored a book Hands-On Python Deep Learning for the Web with Anubhav Singh (Packt Publishers).
Authored a liveProject namely Use Machine Learning to Detect Phishing Websites with Manning Publishers.
Below are the blogs, articles, and tutorials I have written on Data Science, Machine Learning and more.
Links to my DataCamp blogs:
Links to my DataCamp blogs:
- KMeans clustering with scikit-learn - https://goo.gl/dT7kYq
- DBSCAN: A macroscopic investigation in Python - https://goo.gl/fDGYUn
- Hyperparameter Optimization in Machine Learning Models - https://goo.gl/5C6ouV
- Towards Preventing Overfitting: Regularization - https://goo.gl/B9vxia
- Ensemble Learning in Python - https://goo.gl/dmH9db
- Investigating Tensors with PyTorch - https://goo.gl/yoYsVL
- Introduction to Feature Selection - https://goo.gl/gY8rwy
- Demystifying crucial Statistics in Python* - https://goo.gl/i2Wm5v
- Diving Deep with Imbalanced Data - https://goo.gl/fZnYmV
- Introduction to Cyclical Learning Rates - https://goo.gl/2fpkQQ
- Turning Machine Learning Models into APIs in Python** - https://goo.gl/vwzqtA
- Essentials of Linear Regression in Python*** - https://goo.gl/5nuVmt
- Simplifying Sentiment Analysis in Python - https://goo.gl/62mEJo
- Automated Machine Learning with Auto-Keras - https://goo.gl/XEjea4
- Introduction to Indexing in SQL - https://goo.gl/7dcnE7
- Understanding Recursive Functions in Python - https://goo.gl/u1U2eH
- Beginner's Guide to Google's Vision API in Python - https://goo.gl/VCwZa8
- Beginner's Guide to PostgreSQL - https://goo.gl/DV1rhY
- Managing Databases in PostgreSQL - https://goo.gl/YA9fAy
- Working with Spreadsheets in SQL - https://goo.gl/PYUb2v
- Installing PostgreSQL on Windows and Mac OS X - https://goo.gl/CyF8T4
- Using Order By Keyword in SQL - https://goo.gl/i7mD8f
- Introduction to Alter Table Statement in SQL - https://goo.gl/qWi3km
- SQLite in Python - https://goo.gl/wYCr4e
- Introduction to Where Clause in SQL - https://goo.gl/VB3CdX
- Introduction to SQL Joins - https://goo.gl/2w342W
- 10 command-line utilities in PostgreSQL - https://goo.gl/xFWbRS
- CASE Statements in PostgreSQL - https://bit.ly/2HWBSwu
- Aggregate Functions in SQL - https://bit.ly/2GnDqg9
- Cleaning Data in SQL - http://bit.ly/2GyPdrL
- Materialized Views in PostgreSQL - http://bit.ly/2VFz11x
- Argument Parsing in Python - http://bit.ly/2LOWGsJ
- Ten Important Updates from TensorFlow 2.0 - http://bit.ly/2EHENWL
- Implementing Neural Style Transfer using TensorFlow 2.0 - http://bit.ly/2J1mmxv
- TensorFlow 2.0 Case Study - http://bit.ly/2U0yjZA
*This article got featured in "Python Top 10 Articles for the Past Month (v.Oct 2018)" and secured a rank of 4.**This article got featured in "Machine Learning Top 10 Articles for the Past Month (v.Nov 2018)" and secured a rank of 9.***This article got featured in "Python Top 10 Articles for the Past Month (v.Dec 2018)" and secured a rank of 10.
Other blogs:
Other blogs:
- Introduction to Anomaly Detection in Python (FloydHub) - https://bit.ly/2TZLg4d
- Introduction to K-Means Clustering in Python with scikit-learn (FloydHub) - https://bit.ly/2IZev5a
- An introduction to Q-Learning: Reinforcement Learning (FloydHub) - http://bit.ly/2HxuVzo
- How to plan and execute your ML and DL projects (FloydHub) - http://bit.ly/2XtMCeh
- Becoming One With the Data (FloydHub)* - http://bit.ly/30N3bPA
- Training Neural Nets: a Hacker’s Perspective (FloydHub) - http://bit.ly/training-neural-nets
- Running Hyperparameter Sweeps to Pick the Best Model (Weights and Biases) - http://bit.ly/2MKHR7K
- arXiv Search: Generating Tags from Paper Titles (Weights and Biases) - http://bit.ly/2WQ8sFh
- How to Use GCP with Weights & Biases (Weights and Biases) - http://bit.ly/399Fd60
- Mixed precision training with tf.keras (Weights and Biases) - http://bit.ly/2RIkQ9z
- Customizing Training Loops in TensorFlow 2.0 (Weights and Biases) - http://bit.ly/39DOmEf
- Bayesian Hyperparameter Optimization - A Primer (Weights and Biases) - http://bit.ly/38SqXgR
- Visualize models in TensorBoard with Weights and Biases (Weights and Biases) - http://bit.ly/3cCP5qq
- The effects of weight initialization on neural nets (Weights and Biases) - https://bit.ly/3bk34Qu
- Introduction to image inpainting with deep learning (Weights and Biases) - https://bit.ly/39CqTBK (Joint work with Ayush Thakur)
- Kaggle Starter Kernel - Jigsaw Multilingual Toxic Comment Classification (Weights and Biases) - https://bit.ly/2UQtnbB
- Distributed training in tf.keras with W&B (Weights and Biases) - https://bit.ly/2JZkQwJ
- AMA with Sayak Paul - Hacktoberfest'19 - https://fossassam.tech/post/ama-sayak/
- Predicting the publisher’s name from an article: A case study (for Google Developers Experts' Medium Channel)** - http://bit.ly/2K9TpS8
- A comprehensive list of data science resources for developers (for Intel DevMesh) - https://intel.ly/2J2UYSs
- Detecting phishing websites using machine learning (Intel Software Innovators' Medium Channel) - http://bit.ly/2YBvaAs
- Lessons learned from a Deep Learning Hackathon (Intel Software Innovators' Medium Channel) - http://bit.ly/2YfnZhI
- Introduction to procedures and cursors in SQL (Towards Data Science) - https://bit.ly/2OTd8WF
- “Reparameterization” trick in Variational Autoencoders (Towards Data Science) - https://bit.ly/2RjoWnM