Natural Language Processing (NLP) - (Theory Lecture)
คำอธิบายการบรรยาย
We will cover key and fundamental concepts in Natural Language Processing. Term frequency, Inverse Document Frequency, TF-IDF, how the documents get importance based on important words in them.
เรียนรู้เพิ่มเติมจากหลักสูตรเต็มรูปแบบ
Data Science and Machine Learning using Python - A Bootcamp
Numpy Pandas Matplotlib Seaborn Ploty Machine Learning Scikit-Learn Data Science Recommender system NLP Theory Hands-on
วิดีโอออนดีมานด์ความยาว 24:52:28 • อัพเดทเมื่อ กุมภาพันธ์ 2020
Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decision making.
Python for Data Science and Machine Learning
NumPy for Numerical Data
Pandas for Data Analysis
Plotting with Matplotlib
Statistical Plots with Seaborn
Interactive dynamic visualizations of data using Plotly
SciKit-Learn for Machine Learning
K-Mean Clustering, Logistic Regression, Linear Regression
Random Forest and Decision Trees
Principal Component Analysis (PCA)
Support Vector Machines
Recommender Systems
Natural Language Processing and Spam Filters
and much more...................!