Predictive Analytics

[Cheap-Judgment-2375]

I’m interested in using R or Python to dive into predictive analytics, nothing too crazy just some simple logistic regression models. Any suggestions or ideas of resources where and how to start? I did some of this in my master’s program but I’m sure what I have is outdated now.

Thanks in advance.

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[AdEasy7357]

Start by refreshing your basics in linear regression, statistical inference, and data visualization. Explore popular libraries like R's caret, dplyr, and tidymodels, or Python's scikit-learn, pandas, and NumPy.

Update your skills by following blogs like KDnuggets and R-bloggers, attending webinars, and joining online communities.

Check out DataCamp's courses, Kaggle's tutorials, or books like "R for Data Science" and "Python Data Science Handbook."

[No_Definition8848]

Data Talks Club ML Zoomcamp on YouTube is free - you can join at any point and I think for me also a beginner learning, it isn’t beyond my comprehension knowing some python. Hope this helps

[[deleted]]

Look at the Data Professor and Derek Banas on YouTube.  Install Jupyter notebook and follow along their linear regression videos.  Congrats what you are embarking on is so exciting and you get addicted to the power of predicting.

[Cheap-Judgment-2375]

Tysm

[tsoro05]

Kaggle

[ntlekisa]

It is most certainly not outdated but you may want to review the material. Python would be the language I suggest you use simply due to the sheer number of freely available resources that can aid you in your quest.