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Name: Mohit Goel
Type: User
Bio: Forever learning, forever dreaming.
Location: London
Name: Mohit Goel
Type: User
Bio: Forever learning, forever dreaming.
Location: London
A short course in classification models using python programming for data analytics.
If you are curious about data, or wish to acquire your first role as a Data Scientist, this repository is for you.
We will be introduced to Natural Language Processing (NLP) and will build our knowledge to the point where we are comfortable undertaking business projects.
This repository contains vital tools for learning Classification via exploratory analysis and theory.
We will be making a model that detects credit card fraud using Artificial Neural Networks.
We will be completing a business task using clustering: K-Means and Hierarchical
We will be analysis data obtained from a mobile application company in order to analyse customer behaviour.
Data Preprocessing: This repository will highlight the necessary steps before producing machine learning models.
We will search for the best model that predicts the likelihood of e-signing a loan based on the financial history of customers.
We will be completing a business task using Linear Regression.
We will be using a "Convolution Neural Network" to classify images of types of clothing
This is a Git Repo that is used for Git practice
We will be analysing the shopping baskets of customers to learn product associations and customer behaviour.
We will be completing a business task using Polynomial, Support Vector Machine, Decision Tree and Random Forest Regression.
In this repository, we will learn about the new Machine Learning technologies and their implementation with Python. We will focus on applications and not derivations.
We will be classifying flowers using Logistic Regression, K-Nearest Neighbours, Support Vector Machine, Naive Bayes, Random Forest and XGBoost.
We will be using a "Convolution Neural Network" to classify images of dogs and cats
This repository contains vital tools for learning Linear Regression via exploratory analysis and theory.
We will be using "Reinforcement Learning" to complete a marketing business task
This repository contains the necessary tools for learning Excel. This will take a complete Excel novice to a level of business proficiency in reporting and analytics.
We will be using Logistic Regression to predict which users will churn.
This repository contains a course on Power BI that will take a complete Power BI novice to a level of business proficiency. Power BI is not only highly user friendly, interesting and well designed, it is absolutely essential for analytics and business intelligence.
We will be completing a business task using Logistic, K Nearest Neighbours, Support Vector Machine, Naive Bayes and Classification Trees.
A step by step course in the basics of python programming for data analytics.
This repository contains a full course in statistics that are used in a business environment. Before we get busy with the codes, understanding the fundamentals is crucial when performing analytics and interpreting results.
This repository contains a course on SQL that will take a complete SQL novice to a level of business proficiency. Although simple, SQL is the most important skill for anyone looking to get their first role in data or to reach a level of mastery. Either way, this repository may add to your game – the introduction will show you why.
This repository contains a course on Tableau that will take a complete Tableau novice to a level of business proficiency. Tableau is not only highly user friendly, powerful and beautifully artistic, it is absolutely essential for analytics and business intelligence. As much as this is a technical tool, its artistic flare will leave you an awe.
We will be completing a business task using Multiple Linear Regression.
We will be using an "Artificial Neural Network" to complete a business task
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