
Explore supervised learning, where a model learns a function mapping input x to output y from labeled training data, then predicts y for new x.
Collect blockchain data from blockchain.com charts, export csv features like market price, transactions, hash rate, and difficulty, then prepare to join datasets with pandas for machine learning.
Explore unsupervised learning as a key branch of machine learning, with applications in recommendation systems, grouping customers by attributes, and pattern discovery, including principal component analysis and cluster analysis.
Cluster cryptocurrencies using unsupervised learning in Python with the CryptoCompare API in Google Colab. Convert crypto features into a Pandas DataFrame and CSV for easy analysis.
Clean and prune the crypto data frame by dropping noisy columns, keep meaningful features like algorithm and proof type, and prepare text features for clustering-ready data in Python.
Explore the theory of k means clustering, an unsupervised learning method that groups data into k clusters using centroid distance and iterative refinement.
Apply k-means with the optimal four clusters from the elbow curve, train on the x PCA dataframe, and produce a final dataframe with cluster labels for visualization.
Discover how K nearest neighbors, a nonparametric, instance-based model for classification and regression, uses a tunable K to balance flexibility and accuracy. Use cross-validation to select the best K.
Learn how radius neighbors machine learning uses all samples within a radius to predict cryptocurrency stock movements, extending k-nearest neighbors to regression and density-aware classification.
Load crypto stock data in Colab with Yahoo Finance API using yfinance, save as CSV, and set open, high, low, volume as features with adjusted close as target for XGBoost.
Buff your skills to keep your job and get a raise in ANY economic climate. This course BUNDLE keeps your skills sharp and your paycheque up!
Data Science and Machine Learning
Build linear and polynomial regression machine learning models with Blockchain API
Cluster cryptocurrencies with machine learning techniques
Classify cryptocurrency data with machine learning
Build neural networks with Google's TensorFlow on cryptocurrency stock data
Differential Privacy and Federated Learning
Build a differential privacy project to encrypt datasets
Build a deep learning differential privacy query
Encrypt data sent to a machine learning model with federated learning
This masterclass is without a doubt the most comprehensive course available anywhere online. Even if you have zero experience, this course will take you from beginner to professional.
Frequently Asked Questions
How do I obtain a certificate?
Each certificate in this bundle is only awarded after you have completed every lecture of the course.
Many of our students post their Mammoth Interactive certifications on LinkedIn. Not only that, but you will have projects to show employers on top of the certification.
Is this an eBook or videos?
The majority of this course bundle will be video tutorials (screencasts of practical coding projects step by step.) We will also have several PDFs and all source code.
Can't I just learn via Google or YouTube?
This bundle is much more streamlined and efficient than learning via Google or YouTube. We have curated a massive 5-course curriculum to take you from absolute beginner to starting a high-paying career.
How will I practice to ensure I'm learning?
With each section there will be a project, so if you can build the project along with us you are succeeding. There is also a challenge at the end of each section that you can take on to add more features to the project and advance the project in your own time.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you.
Try a course today.