I am Machine Learning Scientist having below experience summary. I will share the index with you 1 hr per day for almost 3 days max or less may be. This will cover the basic python required to work on machine learning algorithms. Once you understand basic python, you can go ahead and learn machine learning algorithms. Please let me know whether you are fine with my proposal so that I will share index,
I will cover Control flow, data strictures (list, tuple, sets, dictionary, string) , defining and using functuions etc, numpy array, panda dataframes.
Once you understand python. If you get confidence in me after this course then you may further ask me to teach you calling machine learning algorithms using python.
Experience Summary:
● Hands on experience in python data structures
● Hands on experience in converting text sentences in to vectors using vectorization techniques such as BoW, TF-IDF, Average word2vec, TF-IDF weighted word2vec. Hands on experience in using googles 300D word2vec. Hands in experience in training own word2vec.
● Hands on experience on dimensional reduction algorithm t-SNE visualizing the data.
● Hands on experience on training predictive algorithms like k-NN, Naïve Bayes, Logistic Regression as well as tunning the respective hyper parameters such as k, alpha, C (inverse of lambda) respectively. Ability to undestand metrics such as accuracy, confusion metric, precision, recall, f1 score etc.