Artificial Intelligence Certification
- 1. Artificial Intelligence Certification Certified By Microsoft.
- 2. 2 A Great Place For Education | Vepsun.in Let’s Learn! Technology doesn’t innovate. People do. That is the reason we put individuals first, so we can engage them to arrive at their maximum capacity with innovation. The fast pace of innovation and business today requests a learning approach that fits the necessities of both the individual and the organization. We built a learning system to reflect that need. Adapting today requires a guided methodology through the intricate number of formal and casual learning alternatives. It requires a methodology that envelops the top learning techniques utilized today and adjusts them to help hierarchical results. Our learning ecosystem is designed to support how learning is done today and evolves to meet advances in technology and individual learning needs. Integrating the world’s largest collection of proprietary and IT partner content, resources, and expertise with a global instructor pool of more than 300 real-world experts, Vepsun Technologies delivers custom learning to global organizations no matter where their workforce is located to drive quantifiable results..
- 3. 3 A Great Place For Education | Vepsun.in Executive Program in Artificial Intelligence Technology Certified by Microsoft.
- 4. 4 A Great Place For Education | Vepsun.in 01 Learning Path Introduction to Python Concepts of Python Programming Configuration of Development Environment Variable and Strings Functions, Control Flow and Loops Tuple, Lists and Dictionaries Standard Libraries Introduction to NumPy Basics of NumPy Arrays Mathematical Operations in NumPy NumPy Array Manipulation NumPy Array Broadcasting Data Science Fundamentals Introduction to Data Science Real World Use-Cases of Data Science Walkthrough of Data Types Data Science Project Lifecycle 02 Learning Path Data Manipulation with Pandas Data Structures in Pandas-Series and Data Frames Data Cleaning in Pandas Data Manipulation in Pandas Handling Missing Values in Datasets Hands-on: Implement NumPy Arrays and Pandas Data Frames Data Visualization in Python Plotting Basic Charts in Python Data Visualization with Matplotlib Statistical Data Visualization with Seaborn Hands-on: Coding Sessions Using Matplotlib, Seaborn Package Exploratory Data Analysis Introduction to Exploratory Data Analysis (EDA) Steps Plots to Explore Relationship Between Two Variables Histograms, Box plots to Explore a Single Variable Heat Maps, Pair plots to Explore Correlations
- 5. 5 A Great Place For Education | Vepsun.in 03 Learning Path Introduction to Machine Learning What is Machine Learning? Use Cases of Machine Learning Types of Machine Learning - Supervised to Unsupervised methods Machine Learning Workflow Logistic Regression Introduction to Logistic Regression Logistic Regression Use Cases Understand Use of odds & Logic Function to Perform Logistic Regression Predicting Credit card Default Cases Linear Regression Introduction to Linear Regression Use Cases of Linear Regression How to Fit a Linear Regression Model? Evaluating and Interpreting Results from Linear Regression Models Predict Bike Sharing Demand 04 Learning Path Decision Trees & Random Forest Introduction to Decision Trees & Random Forest Understanding Criterion (Entropy & Information Gain) used in Decision Trees Using Ensemble Methods in Decision Trees Applications of Random Forest Dimensionality Reduction using PCA Introduction to Curse of Dimensionality What is Dimensionality Reduction? Technique Used in PCA to Reduce Dimensions Applications of Principle Component Analysis (PCA) Optimize Model Performance using PCA on SPECTF heartdata Model Evaluation Techniques Introduction to Evaluation Metrics and Model Selection in Machine Learning Importance of Confusion Matrix for Predictions Measures of Model Evaluation - Sensitivity, Specificity, Precision, Recall & f-score Use AUC-ROC Curve to Decide Best Model
- 6. 6 A Great Place For Education | Vepsun.in 05 Learning Path K-NearestNeighbours Introduction to K-NN Calculate Neighbours using Distance Measures Find Optimal Value of K in K-NN Method Advantage & Disadvantages of K-NN K-Means Clustering Introduction to K-Means Clustering Decide Clusters by Adjusting Centroids Understand Applications of Clustering in Machine Learning Segment Hands in Pokerdata Naive Bayes Classifier Introduction to Naïve Bayes Classification Refresher on Probability Theory Applications of Naive Bayes Algorithm in Machine Learning Classify Spam Emails Based on Probability Support Vector Machines Introduction to SVM Figure Decision Boundaries Using Support Vectors Identify Hyperplane in SVM Applications of SVM in Machine Learning 06 Learning Path Time Series Forecasting Components of Time Series Data Interpreting Autocorrelation & Partial Autocorrelation Functions Introduction to Time Series Analysis Stationary Vs Non Stationary Data Stationary data and Implement ARIMA model Recommendation Systems Introduction to Recommender Systems Types of Recommender Systems - Collaborative, Content Based & Hybrid Types of Similarity Matrix (Cosine, Jaccard, Pearson Correlation) Segment Hands in Poker DataBuild Recommender systems on Movie data using K-NN Basics Apriori Algorithm Applications of Apriori algorithm Understand Association rule Developing product Recommendations using Association Rules Analyse Online Retail Data using Association Rules
- 7. 7 A Great Place For Education | Vepsun.in 07 Learning Path Linear Discriminant Analysis Recap of Dimensionality Reduction Concepts Types of Dimensionality Reduction Dimensionality Reduction Using LDA Apply LDA to Determine Wine Quality Ensemble Learning Introduction to Ensemble Learning What are Bagging and Boosting techniques? What is Bias Variance Trade Off? Predict Wage (annual income) Classes from Adult Census Data Anomaly Detection Introduction to Anomaly Detection How Anomaly Detection Works? Types of Anomaly Detection: Density Based, Clustering etc. NET Based Commands Detect Anomalies on Electrocardiogram Data
- 8. 8 A Great Place For Education | Vepsun.in Enroll Now COMPANY INFORMATION Vepsun Technologies Pvt . Ldt. 1st Floor, 104, S R Arcade, 6th Cross, Marathahalli, Bangalore - 560037. Mail: - info@vepsun.com Contact No. : 090 36363 007 / 090 35353 007 Website: https://vepsun.in/ INR. 39,990* Artificial Intelligence * Inclusive of all Taxes