Introduction to Data Science, Machine Learning, Deep Learning and Artificial Intelligence Basics of Python and Hands-on on Python Introduction to Data Science using Python Hands on session on Data Science with Python [Database Connectivity with PYTHON: Performing Database Transactions (Inserting, Deleting, and Updating the Database)] Introduction to Machine Learning and its types Examples Overview of Machine Learning packages in Python Introduction to Deep Learning and its types Project in Data Science/Machine Learning /Artificial Intelligence
Chapter 1: Regression Analysis
1. Simple Linear Regression
2. Multiple Linear Regression
3. Polynomial Regression
4. Advanced Regression
Chapter 2: Classification Methods
2. Naïve Bayes
4.Support Vector Machines (SVM)
Chapter 3: Bootstrap Aggregation (Bagging) Ensemble Learning
Chapter 4: Boosting Ensemble Learning
Chapter 5: Stacking and Blending Ensemble Learning
Chapter 6: Clustering Techniques
Bert Clustering etc
Chapter 7: Dimensionality Reduction-
Principal Component Analysis (PCA)
Linear Discriminative Analysis (LDA)
Chapter 8: Associate Rule
Chapter 9: Recommendation system
Popularity Based Recommendation System
Market Basket Recommendation System
Content Based Recommendation
Hybrid recommendation systems
Chapter 10: Cross Validation Techniques
Non Exhaustive CV
Rolling Cross Validation
Chapter 11: Model selection and Tuning
Chapter 12: Model Performance and Measure (Evaluation Metrics)
Regression Evaluation Metrics
Classification Evaluation Metrics
Chapter 13: Model Regularization Method
Chapter 14: Model Hyperparameter Optimization
Chapter 15: ML Pipeline
Chapter 16: Value Based Methods: Q Learning
Chapter 17: SARSA
Chapter 18: Model Deployment through Cloud Computing
Amazon web services (AWS)
Microsoft Azure (MA)
Google Cloud Platform (GCP)
To assist you in identifying your goals and help achieve them.
What will be assessed?
Externship refers to virtual employment. Avail this modern trend in employment. Join real companies and become their virtual employee. Solve real problems, get hands-on real-time experience, assess your gaps and then either get the same job or other curated opportunities.
What will you receive?
While enactment, you will realize your skill gaps and struggles which then can be explored. You can explore various skills and attend live masterclasses from experts and doubt clearing sessions to meet those gaps.
What will you receive?
Experience comes in the form of job assistance services, mentorship or even getting connected with on-field experts who help you achieve your career goals.
What will you receive?
• Pursuing Phd in Machine Learning from SVVV, Indore.
• PGP in Artificial Intelligence and Machine Learning from University at Texas at Austin , USA
• M.Tech (VLSI Design) from GHRCE, Nagpur.
• B.E (Electronics and Telecommunication) from JDIET, Yavatmal.
1. VDGOOD Inspirational Scientist Award in the 7th International Scientist Awards on Engineering, Science and Medicine.
2. Awarded as Excellence in Research (HEI Awards) THE PROGRESS GLOBAL AWARD 2020.
3. Awarded as Best in Innovation, Training and Design Award of “International Association of Educators and Corporate Trainers –IAECT Award 2020”.
4. Awarded as “Best Corporate Trainer Award of “International Association of Educators and Corporate Trainers –IAECT Award 2020”.
I am working as Artificial intelligence and Machine Learning Researcher at tensorBrew, Hyderabad. I am also working as Freelancer Corporate Trainer in Python, Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. I am currently pursuing Ph. D in Machine Learning from SVVV Indore. I have done done PGP in Artificial Intelligence and Machine Learning from Great Lakes, Hyderabad. I have done M.Tech in VLSI Design and B. E in Electronics & Telecommunication Engineering. I am having having 11 Years of Experience in VLSI Research, Machine Learning, Data Science and Artificial Intelligence.
I have done 70+ Certifications in the domain of Data Science, Machine Learning, Deep Learning and Artificial Intelligence. I have conducted many sessions on Data Science , Machine Learning and Artificial Intelligence across India. My other skills include Aptitude Development, Group Discussion, Extempore/Elocution/Debates, Counseling, Motivational Talk, Resume, Writing ,Video Resume Cover Letter ,Expert Talks,Personal Interview/Technical Interview. I am also Giving Training to Competitive Examination/ CRT (Campus Recruitment Training).
· Tools: Python, VHDL, VLSI Design, Keras, TensorFlow, OpenCV, NLTK.
· Skills: Data Science Using Python, Machine Learning Using Python, Data Analysis, Data Visualization, Deep Learning, Neural Network, Natural Language Processing (NLP), Computer Vision(CV).read more
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