Random Forest Classifier Python Scikit-Learn
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The Code: https://colab.research.google.com/dri...
The Scikit-Learn Documentation: https://scikit-learn.org/stable/modul...
Looking to become a data scientist? I'd follow this roadmap:
Step 1: Begin Your Data Science Journey
IBM Data Science Professional Certificate: https://click.linksynergy.com/deeplin...
Step 2: Machine Learning Fundamentals
Andrew Ng / Stanford University Course: https://click.linksynergy.com/deeplin...
OR
University Of Washington ML Specialization: https://click.linksynergy.com/deeplin...
(Optional) Step 2a: If You Want To Learn ML Math
Imperial College London Math For Machine Learning: https://click.linksynergy.com/deeplin...
(Optional) Step 2b: If You Want To Master Programming
Stanford University Algorithms Specialization: https://click.linksynergy.com/deeplin...
Step 3: Deep Learning Fundamentals
Andrew Ng Deep Learning Specialization: https://click.linksynergy.com/deeplin...
Step 4: Apply Your ML Skills
TensorFlow Deep Learning Specialization: https://click.linksynergy.com/deeplin...
Step 5: Move To The Cloud
Amazon Web Services Data Science Specialization: https://click.linksynergy.com/deeplin...
OR
Google Cloud Big Data & ML On GCP: https://click.linksynergy.com/deeplin...
(Optional) Step 5a: If Your Focus Is NLP
DeepLearning.AI Natural Language Processing Specialization: https://click.linksynergy.com/deeplin...
Step 6: Master TensorFlow
Advanced TensorFlow Specialization: https://click.linksynergy.com/deeplin...
BONUS
University of Alberta Reinforcement Learning: https://click.linksynergy.com/deeplin...
DataBricks Apache Spark Specialization: https://click.linksynergy.com/deeplin...
IBM Cloud / Web Development Specialization: https://click.linksynergy.com/deeplin...
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My Step-By-Step PDF: https://drive.google.com/file/d/1zCNQ...
Please note that I may earn a commission for purchases made at the above sites, which come in the form of paid certificates. However, the learning material is entirely free! If you do choose to pay for a certificate through these links; thank you for supporting the channel!