Machine Learning

4 courses

Intro to Machine Learning in Trading with $TSLA

Dive into the exciting world of Machine Learning in Trading with a focus on Tesla ($TSLA) stock. This learning path is designed to take you from beginner to pro, teaching you how to analyze financial data, build predictive models, and make smart trading decisions.

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This learning path includes:

4 courses with bite-sized lessons and practices

20 engaging lessons in text and video formats

93 hands-on practices

One-on-one guidance from Cosmo, our AI tutor

Verified skills you'll gain

DEVELOPING

Data Cleaning and Preprocessing

DEVELOPING

Feature Engineering

INTERMEDIATE

Machine Learning Model Development

Tools you'll use

MatPlotLib

Pandas

Python

Scikit-learn

Trusted by learners working at top companies

5 lessons

23 practices

Basic $TSLA Financial Data Handling in Pandas

This course introduces the fundamental concepts of data handling using Pandas in Python. Designed for beginners, it covers the basics of loading data, performing simple data manipulations, and basic visualizations. Through working with the Tesla stock dataset, you will gain the foundational skills needed to manipulate and visualize financial time series data effectively.

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5 lessons

23 practices

Technical Indicators in Financial Analysis with Pandas

In this course, you will delve into the construction and application of technical indicators commonly used in financial analysis. Working with the Tesla stock dataset, you will apply moving averages and exponential moving averages, and understand how these indicators can be used to make informed trading decisions.

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5 lessons

24 practices

Preparing Financial Data for Machine Learning

This course explores the essential steps for preparing data for machine learning, focusing specifically on financial time series data. From feature engineering to scaling and train-test splitting, you will learn to apply best practices in preprocessing data to pave the way for successful model training and evaluation.

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5 lessons

23 practices

Introduction to Machine Learning with Gradient Boosting Models

This course aims to introduce you to building and understanding gradient boosting models through practical application in financial market predictions. It centers on using the Gradient Boosting Regressor to forecast price changes in Tesla stock, encompassing model training, hyperparameter tuning, and evaluation.

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Meet Cosmo: The smartest AI guide in the universe

Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.

Whether you’re leveling up or just starting out, find your next step here.