6 Predictive Models every Beginner Data Scientist Should Learn #machinelearning
These are the 6 Predictive Models every Beginner Data Scientist Should Master:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Boosting Models
• Neural Networks
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✍️ My Substack: https://thedatajourney.substack.com/
🐍 Udemy's Python For Absolute Beginners: https://www.udemy.com/course/the-python-for-absolute-beginners-bootcamp/?referralCode=8D25992A055C19079B8A
🧑🏫 Udemy Profile: https://www.udemy.com/user/ivo-bernardo/
✍️ My Medium: https://ivopbernardo.medium.com/
🌍 My LinkedIn: https://pt.linkedin.com/in/ivobernardo/en
These are the 6 Predictive Models every Beginner Data Scientist Should Master:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Boosting Models
• Neural Networks
Like, share and subscribe the channel 🔔
———————————————————
✍️ My Substack: https://thedatajourney.substack.com/
🐍 Udemy’s Python For Absolute Beginners: https://www.udemy.com/course/the-python-for-absolute-beginners-bootcamp/?referralCode=8D25992A055C19079B8A
🧑🏫 Udemy Profile: https://www.udemy.com/user/ivo-bernardo/
✍️ My Medium: https://ivopbernardo.medium.com/
🌍 My LinkedIn: https://pt.linkedin.com/in/ivobernardo/en
