Khandesh College Education Society's
Dr. APJ Abdul Kalam Skill Development Centre
C/O KCES' College of Engineering and Management
  Behind DIC, Off NH-6, Next to IMR Campus, Jalgaon - 425001
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SPOTLIGHT

Online lectures of B.Voc Degree have started from 17th August 2020 for existing students. Admission Open for Bachelor of Vocation for academic year 2020 - 21 Admission Open for Online Certificate Course in Data Analytics Admission Open for Online German Language Speaking

Certificate Course in Basic Data Analytics

Module 1 -> Introduction to python

1.1 Introduction to Data Science
1.2 Introduction to Python
1.3 Python for Data Science
1.4 Data Structures
1.5 Numpy
1.6 Pandas
1.7 Matplotlib.

Module 2 -> Exploratory Data Analysis (EDA)

2.1 Linear Algebra
2.2 Probability & Statistics
2.3 All kinds of plots for data visualization
2.4 Dimensionality reduction techniques
2.5 PCA
2.6 T-SNE

Module 3 -> Natural Language Processing

3.1 NLP intrduction and importance
3.2 Text Preprocessing
3.3 Uni-grams, bi-grams and n-grams
3.4 Bag of Words (BOW)
3.5 TF-IDF
3.6 Word to Vector

Module 4 -> Performance Metrics

4.1 Accuracy
4.2 Confusion Matrics
4.3 Precision, Recall & F1 Score
4.4 ROC and AUC Curves
4.5 Log loss
4.6 Mean Absolute Error and Mean Absolute Deviation

Module 5 -> Machine Learning Algorithms

5.1 Introduction to Machine learning algorithms
5.2 Types of ML algorithms
5.3 K-Nearest Neighbors (KNN)
5.4 Naive Bayes
5.5 Logistic Regression
5.6 Support Vector Machine (SVM)
5.7 Decision Trees
5.8 Linear Regression
5.9 Optimization Techniques
5.0 Ensemble Models
5.11 Random Forest
5.12 GBDT and XGBoost

Module 6 -> Feature Engineering

6.1 Concept and necessity
6.2 Ways to create feature engineering

Module 7 -> Recommender System

7.1 Recommendation System Introduction
7.2 Types of Recommender System
7.3 Collaborative filtering
7.4 Content based recommender system
7.5 Case Study on Recommendation System

Certificate Course in Advance Data Analytics

Module 1 -> Introduction to python

1.1 Introduction to Data Science
1.2 Introduction to Python
1.3 Python for Data Science
1.4 Data Structures
1.5 Numpy
1.6 Pandas
1.7 Matplotlib.

Module 2 -> Exploratory Data Analysis (EDA)

2.1 Linear Algebra
2.2 Probability & Statistics
2.3 All kinds of plots for data visualization
2.4 Dimensionality reduction techniques
2.5 PCA
2.6 T-SNE

Module 3 -> Natural Language Processing

3.1 NLP intrduction and importance
3.2 Text Preprocessing
3.3 Uni-grams, bi-grams and n-grams
3.4 Bag of Words (BOW)
3.5 TF-IDF
3.6 Word to Vector

Module 4 -> Performance Metrics

4.1 Accuracy
4.2 Confusion Matrics
4.3 Precision, Recall & F1 Score
4.4 ROC and AUC Curves
4.5 Log loss
4.6 Mean Absolute Error and Mean Absolute Deviation

Module 5 -> Machine Learning Algorithms

5.1 Introduction to Machine learning algorithms
5.2 Types of ML algorithms
5.3 K-Nearest Neighbors (KNN)
5.4 Naive Bayes
5.5 Logistic Regression
5.6 Support Vector Machine (SVM)
5.7 Decision Trees
5.8 Linear Regression
5.9 Optimization Techniques
5.0 Ensemble Models
5.11 Random Forest
5.12 GBDT and XGBoost

Module 6 -> Feature Engineering

6.1 Concept and necessity
6.2 Ways to create feature engineering

Module 7 -> Recommender System

7.1 Recommendation System Introduction
7.2 Types of Recommender System
7.3 Collaborative filtering
7.4 Content based recommender system
7.5 Case Study on Recommendation System

Module 8 -> Deep Learning

8.1 Introduction
8.2 Neural Netwrok
8.3 Multi-layer Perceptron
8.4 Tensorflow & Keras
8.5 CNN
8.6 LSTM
8.7 Case Study - Computer Vision
8.8 Case Study - LSTM

Module 9 -> Case Studies

9.1 Two class classification - Case Study
9.2 Prediction - Case Study
9.3 Multiclass classification - Case Study
9.4 Clustering - Case Study

Additional Case Studies
Walmart Sales Prediction using Time Series forecasting methods.

Machnie learning

Detect Pneumonia form Chest X-ray images of patiemts

Deep learning

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