Machine Learning

10 Highly Probable Data Scientist Interview Questions

The popularity of data science attracts a lot of people from a wide range of professions to make a career change with the goal of becoming a data scientist.Despite the high demand for data scientists, it is a highly challenging task to find your f...

5 Google Chrome Extensions Every Data Scientist Should Know About

In this new post we will talk about the best Google Chrome extensions that as data scientists make certain tasks easier for us. You should at least try them out and verify the results on your own, it is possible that they will become part of your ...

11 Kaggle Alternatives in Data Science Competitions

Data science competitions are a very particular field of applied machine learning, or what is commonly known as applied AI. From the point of view of a data scientist, it has the particularity of simulating a real environment for the solution of a...

¿What Is A Data Science Tournament?

Data science, as opposed to web or mobile development, has a relatively easy way to measure the outcome: through evaluation metrics. In software development the outcome expected by stakeholders is given by a number of subjective things, such as us...

How the Biggest Companies in the World Design Machine Learning Applications

I'm often asked, "what kind of machine learning project should I work on?"And I usually answer with "follow your curiosity."Why?Because of how experimental machine learning is, it's in your best interest to figure things out through tinkering. By ...

Interview With The Winners of the Data Science Competition "Predicting Purchase Intention on a Web Page"

Learn how they made their machine learning models and what tools they used with this interview to the Top 5 of the leaderboard of the competition. A few days ago we finished the data science competition called "Predicting Purchase Intention on a W...

Building a Product Recommendation System with Collaborative Filtering

Building a Product Recommendation System with Collaborative Filtering

Analyzing Customer Conversions with Machine Learning and Decision Trees

Analyzing Customer Conversions with Machine Learning and Decision Trees

Creating the Whole Machine Learning Pipeline with PyCaret

This tutorial covers the entire ML process, from data ingestion, pre-processing, model training, hyper-parameter fitting, predicting and storing the model for later use.We will complete all these steps in less than 10 commands that are naturally c...

Why data science competitions are important for startups?

Today, large companies have large I+D budgets that allow them to experiment and be at the cutting edge of new technologies; always adopting the newest, trying to adapt it to their own needs, trying to find the hidden value in each of them. It is n...

Interview To The Winners Of The Data Science Competition "Predicting App Ratings In Google Play Store".

As usual, we have given ourselves the task of interviewing the winners of the competition "Google Play Store Rating Prediction" that ended a few days ago, having as winner Edimer "Siderus" from Colombia and with a score of 0.698709403908066 and wh...

Building A Linear Regression Model With Python To Predict Retail Customer Spending

We will create a complete project trying to predict customer spending using linear regression with Python. In this exercise, we have some historical transaction data from 2010 and 2011. For each transaction, we have a customer identifier (Customer...

21 Resources for Learning Math for Data Science

This is probably one of the biggest worries of those starting in the area of data science, learning/refreshing mathImage by DataSource.aiLet’s be honest, most people didn’t do very well in math in school, maybe not even in college, and this is ver...

Study Plan for Learning Data Science Over the Next 12 Months

Here you will find a study plan divided by semesters so that you can start on January 1stWe are ending 2020 and it is time to make plans for next year, and one of the most important plans and questions we must ask is what do we want to study?, wha...

A Tour of Machine Learning Algorithms | Read this introductory list of machine learning algorithms

An overview of Machine Learning Algorithms(Source)“Machine intelligence is the last invention that humanity will ever need to make.”— Nick Bostrom.If you could look back a couple of years ago at the state of AI and compare it with its current stat...

A Beginner’s Guide To Linear Regression in Python With Scikit-Learn

sourceThere are two types of supervised machine learning algorithms: Regression and classification. The former predicts continuous value outputs while the latter predicts discrete outputs. For instance, predicting the price of a house in dollars i...

Don’t Democratize Data Science

A plethora of online courses and tools promise to democratize the field, but just learning a few basic skills does not a true data scientist makeEvery few years, some academic and professional field gets a lot of cachet in the popular imagination....

Exploratory Data Analysis and Machine Learning Model for Real Estate Prediction

Exploratory Data Analysis and Machine Learning Model for Real Estate Prediction

3 Ways to Get Real-Life Data Science Experience Before Your First Job

Infographic vector created by stories — www.freepik.comIntroductionGetting my first data science job was hard.It’s especially hard to break into data science when companies typically require a Master’s degree and a minimum of 2–3 years of experien...

Interview with the winners of the data science competition "Real Estate Price Forecast"

Learn how they made their machine learning models and what tools they used with this interview to the top 10 of the competition leaderboard. A few days ago we finished the data science competition called "Real Estate Price Forecast" in which 139 d...