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My Internship Journey with LetsGrowMore | by Salmanb141 | Sep, 2021 | Medium

medium.com | 2 min read | listed 1 hour ago in Data Science - Topic feed @ Medium

In this blog I will share my experience about my Data science virtual internship at LetsGrowMore and i was from September 2021 batch.I am…

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A Complete Guide to Using WordNET in NLP Applications - Analytics India Magazine

analyticsindiamag.com | 7 min read | listed 1 hour ago in Analytics India Magazine | Artificial Intelligence & Data Science stories

WordNet is a lexical database of semantic relations between words in more than 200 languages, useful for natural language processing tasks.

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Kaggle Competition : House Prices — Advanced Regression Techniques | by Sultan Ardiansyah | Sep, 2021 | Medium

sultanardiansyah.medium.com | 4 min read | listed 1 hour ago in Data Science - Topic feed @ Medium

Kaggle link : https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data

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Data Analysis Fast Food Marketing Campaign with R | by candra vakris | Sep, 2021 | Medium

medium.com | 2 min read | listed 2 hours ago in Data Science - Topic feed @ Medium

A fast-food chain plans to add a new item to its menu. However, they are still undecided between three possible marketing campaigns for…

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How to Visualize and Debug Machine Learning Models using ELI5? -

analyticsindiamag.com | 5 min read | listed 4 hours ago in Analytics India Magazine | Artificial Intelligence & Data Science stories

In this article, we will discuss debugging and visualizing machine learning algorithms using ELI5. ELI5 is a tool in Python that is used to visualize and debug various Machine Learning models using a unified API. The major points to be covered in this article are given below

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Fingerprinting a flood: forensic statistical analysis of the mid-2021 Monero transaction volume anomaly | by Mitchell P. Krawiec-Thayer, PhD | Sep, 2021 | Medium

mitchellpkt.medium.com | 16 min read | listed 4 hours ago in Data Science - Topic feed @ Medium

Contributors: Isthmus, Neptune, Rucknium, Jberman, Carrington

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Lei Mao's Log Book – PyTorch Benchmark

leimao.github.io | 8 min read | listed 4 hours ago in Lei Mao's Log Book – Lei Mao

Hello Underworld.

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Training ML models on Melbourne Housing Prices dataset | by Sadia Mubarik | Sep, 2021 | Medium

medium.com | 7 min read | listed 5 hours ago in Machine Learning - Topic feed @ Medium

Problem Statement:

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How to Tame Your Bandit. Demystifying Pure Exploration (Part 1) | by Avi Mohan | Sep, 2021 | Towards Data Science

towardsdatascience.com | 8 min read | listed 6 hours ago in Towards Data Science

Demystifying Pure Exploration (Part 1)

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t-SNE Machine Learning Algorithm — A Great Tool for Dimensionality Reduction in Python | by Saul Dobilas | Sep, 2021 | Towards Data Science

towardsdatascience.com | 7 min read | listed 6 hours ago in Towards Data Science

How to use t-Distributed Stochastic Neighbor Embedding (t-SNE) to visualize high-dimensionality data?

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Zero to Hundred in Python. Programming is a powerful tool. Python… | by Shivan Sivakumaran | Sep, 2021 | Medium

shivan-sivakumaran.medium.com | 5 min read | listed 6 hours ago in Data Science - Topic feed @ Medium

Programming is a powerful tool. Python is an easy way into learning an important skill

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An Introduction to Portfolio Optimization in Python | Built In

builtin.com | 9 min read | listed 6 hours ago in Google Alerts — Daily Digest

Python offers several straightforward techniques for putting together an optimized portfolio of investments. Here’s a guide to getting started with them.

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A Brief Introduction To Unsupervised Learning | by Salman Ibne Eunus | CodeX | Sep, 2021 | Medium

medium.com | 2 min read | listed 7 hours ago in Machine Learning - Topic feed @ Medium

Unsupervised Learning is a type of machine learning in which training is carried out without any human assistance or supervision. This…

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A Brief Introduction To Unsupervised Learning | by Salman Ibne Eunus | Sep, 2021 | Medium

salman-ibne-eunus.medium.com | 2 min read | listed 7 hours ago in Machine Learning - Topic feed @ Medium

Unsupervised Learning is a type of machine learning in which training is carried out without any human assistance or supervision. This…

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How To Choose The Career Path That Fits You | by Olu Aganjuomo | Sep, 2021 | Medium

medium.com | 3 min read | listed 8 hours ago in Data Science - Topic feed @ Medium

Your personality has a huge part to play in your career. If you are in a role that doesn’t fit your personality, or then you may find…

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The properties and application of symmetric matrice | by Xichu Zhang | Sep, 2021 | Towards Data Science

towardsdatascience.com | 10 min read | listed 9 hours ago in Towards Data Science

with geometric explanation

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Classification metrics in a nutshell | by Danilofneto | Sep, 2021 | Medium

danilofelipeneto.medium.com | 3 min read | listed 9 hours ago in Machine Learning - Topic feed @ Medium

I was working on a classification project, more precisely a Churn project. After training 5 machine learning models with a very…

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Introduction to Sentiment Analysis | by StefanBStreet | Sep, 2021 | Medium

stefbrad15.medium.com | 1 min read | listed 10 hours ago in Data Science - Topic feed @ Medium

Before getting into how to develop sentiment analysis systems it’s important to understand what it is and why it’s growing in today’s…

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Beginner’s Guide to the Digital Health Data Repository (DHDR) | by Juseong (Joe) Kim | Digital Biomarker Discovery | Sep, 2021 | Medium

medium.com | 3 min read | listed 10 hours ago in Data Science - Topic feed @ Medium

A curated collection of digital health datasets for use with the DBDP and for digital biomarker discovery

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Solving the Traveling Salesperson Problem with deep reinforcement learning on Amazon SageMaker | AWS Open Source Blog

aws.amazon.com | 11 min read | listed 11 hours ago in Artificial Intelligence

The Traveling Salesperson Problem (TSP) is one of the most popular NP-hard combinatorial problems in the theoretical computer science and operations research (OR) community. It asks the following question: “Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and […]

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Data Science on Bike Rental Dataset | by Kiran Gupta | Sep, 2021 | Medium

medium.com | 3 min read | listed 12 hours ago in Data Science - Topic feed @ Medium

Processing Data, Analyzing and Visualizing, finding insights, applying predictive techniques and reasoning about it.

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How to Build Your Everything Really Really Fast : 19 Steps (with Pictures) - Instructables

www.instructables.com | 8 min read | listed 13 hours ago in reddit/robotics/Can someone explain the process of designing and building something like this?

How to Build Your Everything Really Really Fast: A few years ago, I wrote a short document on methods for rapidly fabricating elements of mechanical systems entitled How to Build Your Robot Really Really Fast. It was catered towards students in MIT's 2.007 introductory design and manufacturing cla…

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Fall Detection with CNN architecture | by Kanan Mahammadli | Sep, 2021 | Medium

medium.com | 1 min read | listed 14 hours ago in Machine Learning - Topic feed @ Medium

Introduction

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How To Apply a Function To Columns in Pandas | Towards Data Science

towardsdatascience.com | 3 min read | listed 14 hours ago in Towards Data Science

Discussing when to use apply() or map() when applying functions to pandas columns and how to do it more efficiently

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Naive Bayes Algorithm. “Probability theory is nothing but… | by KDAG IIT KGP | Sep, 2021 | Medium

kdagiit.medium.com | 11 min read | listed 14 hours ago in Machine Learning - Topic feed @ Medium

“Probability theory is nothing but common sense reduced to calculation.”

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