Following are the resources I personally found usefull from a perpective from learning data science. I will
keep adding stuff I found usefull. All the resources are geared mostly towards to python, I will try and
post R related material as well. Further, if you are new to coding and are not sure whether to use R or Python,
I would suggest python as it is very simple to understand. One of the great resources from I which learned
python from is
Learn Python the Hard Way
Common Terms
- Stochastic Process: Just another name for random processes.
- Error due to Variance: If training a model on different sets of data leads to significance difference in
the decision boundaries the model creates, then the model is suffering from error
due to variance. It is observed usually when the model is fitted so closely to
the training data that it cannot generalize enough.
- Error due to Bias: This is error is introduced if the machine learning model has some incorrect
pre conceived notion about how the predictor and output variables are related.
Online Statistics Courses
Topic Modelling - Text Analysis
Jupyter Notebooks
Data analysis with Python
Other awesome blogs
Other awesome stuff
Also regularly check out
kaggle datasets, it contains
usually small datasets which are ideal for getting your feet wet. More so over you get to read and learn
from other people as well.