Getting started with Titanic Kaggle
Author(s): Durgesh Samariya Recently I started using Kaggle and did my first ever competition — Titanic: Machine Learning from Disaster. This is a beginner-friendly… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding LSTMs and GRUs
Author(s): Daksh Trehan A perfect guide to Long Short term Memory & Gated Recurrent Units. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Closed-form and Gradient Descent Regression Explained with Python
Last Updated on August 7, 2020 by Editorial Team Author(s): Satsawat Natakarnkitkul Machine learning, Programming Regression problem simplified and implementation in Python Photo by Jason Briscoe on Unsplash Introduction Regression is a kind of supervised learning algorithm within machine learning. It is an approach …
Using Twitter Rest APIs in Python to Search and Download Tweets in Bulk
Author(s): Jay M. Patel Learn how to apply language detection and sentiments analysis on tweets Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Monte Carlo Simulation An In-depth Tutorial with Python
Figure 1: The Monte Carlo Simulation methods are used in many industries, from the stock market to finance, energy, banking, and other forecasting models. | Source: Pexels An in-depth tutorial on the Monte Carlo Simulation methods and applications with Python Author(s): Pratik Shukla, …
Analysing Whatsapp Group Chats using StreamLit- Part II
Author(s): Saiteja Kura The journey of my application from a notebook to a web application using Streamlit and Heroku. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Citadel of Ricks: the Pareto Distribution effect on Inequality
Author(s): Michelangiolo Mazzeschi Why does the citadel of Ricks show great signs of inequality? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Derivatives: A Computational Approach — Part two
Author(s): Andrei Gasparovici An introduction to automatic differentiation Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Similar Texts Search In Python With A Few Lines Of Code: An NLP Project
Author(s): Rashida Nasrin Sucky Find similar Wikipedia profiles using count-vectorizer and nearest-neighbor method in Python, a simple and useful Natural Language… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Python Basics — 5 : Files and Exceptions | By Durgesh Samariya
Author(s): Durgesh Samariya Day 5 of 100 Days of Machine Learning Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Derivatives: A Computational Approach — Part one
Author(s): Andrei Gasparovici The derivative is arguably the most useful mathematical instrument for studying the behavior of a function. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Image Classifier — Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
Create Your Own Harry Potter Short Story Using RNNs and TensorFlow
Author(s): Amisha Jodhani Originally published on Towards AI. What is an RNN? Photo by Rae Tian on Unsplash Still, waiting for your Hogwarts letter? Want to enjoy the feast in the Great Hall? Explore the secret passages in Hogwarts?Buy your first wand …
Diving Deep into Kafka
Author(s): Vivek Chaudhary The objective of this blog is to build some more understanding of Apache Kafka concepts such as Topics, Partitions, Consumer, and Consumer… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …