This course was created with the
course builder. Create your online course today.
Start now
Create your course
with
Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Data Science With Artificial Intelligence Specialization Course
Module 1 - Python Prerequisites for Data Science
Lecture 1 (59:36)
Lecture 2 (34:18)
Lecture 3 (58:06)
Lecture 4 (56:26)
Lecture 5 (75:54)
Module 2 - Data Science Introduction
Lecture 1 : Introduction to Data Science (89:02)
Lecture 2 : Introduction to Machine Learning (76:30)
Lecture 3: Difference between Statistics and Machine Learning (56:15)
Module 3 - Natural Language Processing
Lecture 1 - Introduction to NLP with Machine Learning and Neural networks (71:30)
Lecture 2 - Introduction to NLP with Deep Learning (38:55)
Lecture 3 - Text data preprocessing steps such as Sentence Tokenization, Word Punctuation Tokenization, Word Stemming , Word Lemmatization, Removal of Stop Words (63:56)
Lecture 4 - Extracting numeric Features from Text (63:11)
Lecture 5 - TFIDF feature and how it works (51:08)
Lecture 6 - TFIDF feature extraction with Python (61:28)
Lecture 7 - Text Classification Using Logistic Regression with Gradient Descent Algorithm in Python (78:28)
Lecture 8 - Text Classification With Neural Networks (64:30)
Lecture 9 - Text Classification With Neural Networks Code Explained (106:29)
Lecture 10 - Text Classification With Deep Neural Networks (72:26)
Lecture 11 - Text Classification With Deep Learning Python code excecution (35:03)
Lecture 12 - Multinomial Text Classification (Step1 to Step9) Part-1 (48:13)
Lecture 13 - Multinomial Text Classification Part 2 (43:43)
Lecture 14 - Multinomial Text Classification Part-3 with Deep Learning - A full code with Python (61:16)
Lecture 15 - Other Machine Learning Models for Text Classification Part 1 (43:14)
Lecture 16 - Other Machine Learning Models for Text Classification Part 2 - Python Scikit Learn code for NaiveBayes , Decision Tree, Random Forest, Support Vector Machines, Introduction to Non Linearity in Classifications (44:11)
Lecture 17 - Unsupervised Learning on Text Data with K-Means (68:55)
Lecture 5
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock
course builder. Create your online course today.
Start now
course builder. Create your online course today.
Start now
course builder. Create your online course today.
Start now
