Complete DataScience with Python and Tensorflow
Learn about machine learning, deep learning, text analytics using python and tensorflow
3.68 (60 reviews)
342
students
11 hours
content
Jul 2018
last update
$54.99
regular price
What you will learn
Learn about the basics of python as a language: basic syntax, data structure in python ,conditional statements and loops , expression and operators, Functions
Learn about essential Python libraries for data science/ analysis e.g. Pandas, Matplotlib, Numpy
Learn to do exploratory data analysis in Python
Learn how to deal with categorical variables, numerical variables
Learn about missing value analysis, outlier analysis, feature transformation etc.
Learn about basics of machine learning : supervised/ unsupervised, regression/ classification, metrics used for regression and classification
Learn about popular machine learning algorithms (Keep an eye on this section, this will be updated as per demand)
Learn how decision tree, association rule, naive bayes etc. works by building them from scratch in excel (don't worry if you are not familiar with excel, everything will be explained)
Learn how to handle text data. Learn about NLTK : Tokenization, Lemmatization etc. Learn about regex. Learn about bag of words and TF-IDF approach. Build a text classification Model
Learn about the basics of TensorFlow
Learn about Artifical Neural Network, Convolutional Neural Network and Recurrent Neural Network and implement it on MNIST data set
Screenshots
Related Topics
1706472
udemy ID
5/21/2018
course created date
12/20/2019
course indexed date
Bot
course submited by