GitHub - Mukesh376/Applied_AI_Course_Notes: Applied Artificial intelligence Course from Online course Notes

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
1 - How to utilise Aplied Al Course/1.1 - How to Learn from Appliedaicourse		1 - How to utilise Aplied Al Course/1.1 - How to Learn from Appliedaicourse
10 - Linear Algebra		10 - Linear Algebra
11 - Probability and Statistics		11 - Probability and Statistics
12 - Q and A/12.1 - Questions & Answers		12 - Q and A/12.1 - Questions & Answers
13 - Dimensionally Reduction and Visualization		13 - Dimensionally Reduction and Visualization
14 - PCA (Principal Component Analysis)		14 - PCA (Principal Component Analysis)
15 - T-SNE (T-Distributed Stochastic Neighbourhood Embedding)		15 - T-SNE (T-Distributed Stochastic Neighbourhood Embedding)
16 - Q and A/16.1 - Questions & Answers		16 - Q and A/16.1 - Questions & Answers
17 - Case Study 1 - Predict Rating given Product review on Amazon		17 - Case Study 1 - Predict Rating given Product review on Amazon
18 - Classification and Regression Model - KNN		18 - Classification and Regression Model - KNN
19 - Q and A/19.1 - Questions & Answers		19 - Q and A/19.1 - Questions & Answers
2 - Python For Data Science Introduction		2 - Python For Data Science Introduction
20 - Classification Algo in Various Situations		20 - Classification Algo in Various Situations
21 - Performance Measurement of Model		21 - Performance Measurement of Model
22 - Q and A/22.1 - Questions & Answers		22 - Q and A/22.1 - Questions & Answers
23 - Naive Bayes		23 - Naive Bayes
24 - Logistic Regression		24 - Logistic Regression
25 - Linear Regression		25 - Linear Regression
26 - Solving Optimization Problems		26 - Solving Optimization Problems
27 - Q and A/27.1 - Questions & Answers		27 - Q and A/27.1 - Questions & Answers
28 - Support Vector Machines (SVM)		28 - Support Vector Machines (SVM)
29 - Q and A/29.1 - Questions & Answers		29 - Q and A/29.1 - Questions & Answers
3 - Python For Data Science Data Stucture		3 - Python For Data Science Data Stucture
30 - Decision Trees		30 - Decision Trees
31 - Q and A/31.1 - Questions & Answers		31 - Q and A/31.1 - Questions & Answers
32 - Ensemble Models		32 - Ensemble Models
34 - Miscellaneous Topics		34 - Miscellaneous Topics
35 - Unsupervised Learning - Clustering		35 - Unsupervised Learning - Clustering
36 - Hierarchical Clustering Technique		36 - Hierarchical Clustering Technique
37 - DBSCAN (Density Based Clustering) Technique		37 - DBSCAN (Density Based Clustering) Technique
38 - Recommender System and Matrix Factorization		38 - Recommender System and Matrix Factorization
39 - Q and A/39.1 - Questions & Answers		39 - Q and A/39.1 - Questions & Answers
4 - Python For Data Science Fuctions		4 - Python For Data Science Fuctions
40 - Case Study 2 - Stack Overflow Tag Predictor		40 - Case Study 2 - Stack Overflow Tag Predictor
41 - Case Study 3 - Quora Question Pair Similarity Problem		41 - Case Study 3 - Quora Question Pair Similarity Problem
42 - Case Study 4 - Amazon Fashion Discovery Engine		42 - Case Study 4 - Amazon Fashion Discovery Engine
43 - Case Study 5 - Microsoft Malwere Detection		43 - Case Study 5 - Microsoft Malwere Detection
44 - Case Study 6 - Netflix Movie Recommendation System		44 - Case Study 6 - Netflix Movie Recommendation System
45 - Case Study 7 - Personalized Cancer Diagnosis		45 - Case Study 7 - Personalized Cancer Diagnosis
46 - Case Study 8 - Taxi Demand Prediction In City		46 - Case Study 8 - Taxi Demand Prediction In City
47 - Deep Learning - Neural Networks		47 - Deep Learning - Neural Networks
48 - Deep Learning - Deep Multi-Level Perceptrons		48 - Deep Learning - Deep Multi-Level Perceptrons
49 - Deep Learning - Tensorflow and Keras		49 - Deep Learning - Tensorflow and Keras
5 - Python For Data Science Numpy		5 - Python For Data Science Numpy
50 - Deep Learning - Convolutional Neural Nets		50 - Deep Learning - Convolutional Neural Nets
51 - Deep Learning - Long Short-Term Memory(LSTMS)		51 - Deep Learning - Long Short-Term Memory(LSTMS)
52 - Q and A/52.1 - Questions and Answers		52 - Q and A/52.1 - Questions and Answers
53 - Case Study 9 - Self Driving Car		53 - Case Study 9 - Self Driving Car
54 - Case Study 10 - Music Generation Using Deep Learning		54 - Case Study 10 - Music Generation Using Deep Learning
55 - Case Study 11 - Human Activity Recognition		55 - Case Study 11 - Human Activity Recognition
56 - Facebook Friend Recommendation Using Graph Minning		56 - Facebook Friend Recommendation Using Graph Minning
57 - Database SQL		57 - Database SQL
58 - Case Studies/58.1 - AD-Click Predicition		58 - Case Studies/58.1 - AD-Click Predicition
59 - Interview Questions		59 - Interview Questions
6 - Python For Data Science Matplotlib/6.1 - Getting started with Matplotlib		6 - Python For Data Science Matplotlib/6.1 - Getting started with Matplotlib
7 - Python For Data Science Pandas		7 - Python For Data Science Pandas
8 - Python For Data Science Computational Complexity		8 - Python For Data Science Computational Complexity
9 - Plotting for Exploratory Data Analysis (EDA)		9 - Plotting for Exploratory Data Analysis (EDA)
05_StatsModel_PostRead.ipynb		05_StatsModel_PostRead.ipynb
README.md		README.md

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