13 Data Science Things I Learned at JuliaCon 2020
Author(s): ___ Interesting Julia-related data science ideas, tools, packages, etc I learned while attending JuliaCon 2020 Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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
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 to model the relationship between the dependent variable (or …
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 …
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 …
The Fool-Proof Guide to AI
Author(s): Frederik Bussler 48 seconds from now, you could have an AI MVP. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …