My suggestion learn from any youtube channel stats,prob and for ml algos there is statquest,krish naik and many more. Learn the in and outs of any algos then jump onto kaggle. Take some interesting projects like as you are in finance you can check out Amex latest help competition at kaggle. Start with basic EDA then move onto data preprocessing(dataset is of 50 GB so you need to learn how to preprocess) and ther are excellent notebooks in kaggle. From there only learn how to do feature engineering and selection and finally start applying basic models along with hyperparameter tuning(Follow abhishek thakur yt channel guy is a legend and kaggle master). This will sum up your journey in field of data science
Tons of people ask this q, there are great answers on r/datascience
Noted , Will check it out , Thank you
My suggestion learn from any youtube channel stats,prob and for ml algos there is statquest,krish naik and many more. Learn the in and outs of any algos then jump onto kaggle. Take some interesting projects like as you are in finance you can check out Amex latest help competition at kaggle. Start with basic EDA then move onto data preprocessing(dataset is of 50 GB so you need to learn how to preprocess) and ther are excellent notebooks in kaggle. From there only learn how to do feature engineering and selection and finally start applying basic models along with hyperparameter tuning(Follow abhishek thakur yt channel guy is a legend and kaggle master).
This will sum up your journey in field of data science
Thank you so much for the advice, will get going with this.
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