در دوره آموزشی Lynda Python for Data Science Essential Training با مفاهیم علوم داده و یادگیری ماشین و پیاده سازی آن با استفاده از پایتون آشنا می شوید.
سر فصل های این دوره آموزشی :
– Getting started with Jupyter Notebooks
– Visualizing data: basic charts, time series, and statistical plots
– Preparing for analysis: treating missing values and data transformation
– Data analysis basics: arithmetic, summary statistics, and correlation analysis
– Outlier analysis: univariate, multivariate, and linear projection methods
– Introduction to machine learning
– Basic machine learning methods: linear and logistic regression, Naïve Bayes
– Reducing dataset dimensionality with PCA
– Clustering and classification: k-means, hierarchical, and k-NN
– Simulating a social network with NetworkX
– Creating Plot.ly charts
– Scraping the web with Beautiful Soup