How to Articles: (downloadable pdf's)
Revanth Guthala
![Revanth Guthala]()
Revanth Guthala
Lead Analytics at Govt. of Andhra Pradesh, GSWS | Ex- YULU Lead DA | Ex-Airtel x Labs Data Scientist | Actor | IISc 2017-19 | Entrepreneur at ideation stage
Fundamentals
- How to Get a Data Science Internship
- Getting Your First Data Science Job
- END-to-END Technical Strategy for AI Engineers (118 Pages)
- Top 40 Python Interview Questions & Answers (7 pages)
- Difference between Business Intelligence & Data Science
- An example jupyter machine learning notebook
- A Practical Introduction to Prescriptive Analytics (with Case Study in R)
- DATA FALLACIES TO AVOID
- Correlation vs Causation: Definition, Differences, and Examples (6 pages)
- Machine Learning ALGORITHMS Mindmap.
- Which machine learning algorithm to use?
- Advantages Drawbacks Applications of TOP 10 algorithms (23 pages)
- How companies really leverage big data to drive performance (32 pages)
- Looking for DATASETS.
- These Are The Best Free Open Data Sources Anyone Can Use
Data Wrangling & Feature Engineering
- Step by Step Guide to Data Cleaning with Python (NumPy and Pandas)
- Feature Engineering - Getting most out of data for predictive models (76 slides)
- The Hitchhiker’s Guide to Feature Extraction (20 pages) Python
- Extracting Features from Text - A Step-by-Step NLP Guide to Learn ELMo Python
- Handling imbalanced datasets in machine learning (21 pages)
Dimension Reduction
NLP - Natural Langauge Processing - Text Analysis
- Practical Introduction to Web Scraping in Python
- A Step-by-Step Guide for Building a Tweet Classifier with Python - (14 pages)
- Walkthrough Example Implement Text Classification with Python - (14 pages)
- Walkthrough Sentiment Analysis - Model for Predicting Review Sentiment in Python
Speech Analysis
Image Processing
- Setting up a Simple OCR(Optical Character Recognition) Server Python (8 pages)
- A Step-by-Step Introduction to Object Detection Algorithms (10 pages)
- Walkthrough Face Detection with Python - (20 pages)
- Scanning Images for Near-Duplicate Detection (9 pages Python)
- What Kagglers are using for Text Classification (8 pages) Python
Deep Learning
- Walkthrough how to use Deep Learning to solve a problem with Python - (13 pages)
- A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Neural Networks
- How To Create Your first ANN - Artificial Neural Network In Python (7pages)
- Build an RNN - Recurrent Neural Network from Scratch in Python (11 pages)
- CNNs, Part 1: An Introduction to Convolutional Neural Networks
Generative Adversarial Networks (GANs)
Algorithms & Techniques
- Understanding Support Vector (22 pages SVM) from examples (with code Python & R )
- Polynomial Regression As an ALTERNATIVE to Neural Nets (26 pages)
- SELF-Supervised Learning (122 pages)
- Understanding Bayesian Inference with a SIMPLE example in R (4 pages)
- Must Know Probabilistic Programming and Bayesian Methods (19 pages) Python
Clustering & Segmentation
- Comparison of Segmentation Approaches using Clustering (9 pages)
- Guide to HIERARCHICAL Clustering (23 pages) and how to Perform it in Python