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GeezerVison is showing github.com — GitHub - Mukesh376/Applied_AI_Course_Notes: Applied Artificial intelligence Course from Online course Notes

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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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