Develop a passion for learning new things.

PYTHON = (P)rogrammers (Y)earning (T)o (H)omestead (O)ur (N)oosphere.

Learn as if you were not reaching your goal and as though you were scared of missing it

Student Training

Students will be assigned specific projects in Machine Learning or Data science to support existing inhouse projects

Professional Training

Industry Professionals can upgrade their skills in Machine Learning/Data science by going through hands on workshop on the specific areas of interest.

Corporate AI Team

If you are an organization with a newly formed AI Team or thinking of forming a division, we can help build it by imparting strong core skills for the employees.

Quality Service

A Google Docs scam that appears to be widespread began landing in Wednesday in what seemed to be a phishing attack.



Student Training

Certificate

Students will be assigned specific projects in Machine Learning or Data science to support existing inhouse projects. They will work closely with the instructor who would act as Guide in completing the projects. Certificate will be issued upon successful completion of the course. .

Time Duration:3 Months

Available Projects

  • Image detection and Severity/Cost estimation for Damaged Autos.
  • Reserve Estimation based on loss metrics for P&C Insurance.
  • Linear Regression Techniques
  • Image based Food Calorie detection.
  • P&C Claims Fraud detection.
  • Invoice Image based Estimate Reconciliation.

Topic Covered

  • Python Basics
  • Jupyter Notebook
  • Linear Regression Techniques
  • Stochastic modeling
  • Visualization
  • Numpy
  • Scikit learn
  • Advanced ML Libraries
  • Hands On Project Guidance

Quality Service

A Google Docs scam that appears to be widespread began landing in Wednesday in what seemed to be a phishing attack.

Professionals

Industry Professionals can upgrade their skills in Machine Learning/Data science by going through hands on workshop on their specific areas of interest. The course work will be conducted remotely by our instructor and timings will be scheduled based on availability around your work schedule. Course completion certificate will be awarded after Successful completion of the capstone project. Course will be conducted in batches based on the enrollment size.

Time Duration: 6 Months

Topic covered

Introduction to Data Science

  • What is Data Science?
  • Collecting Data
  • Storing Data
  • Processing Data
  • Describing Data
  • Statistical Modelling
  • Algorithmic Modelling
  • Why is Data Science so popular today

Statistical Learning

  • Statistical analysis
  • Descriptive statistics
  • Probability and Bayes theorem
  • Probability distributions
  • Hypothesis testing & scores

Python for Data Science

  • Python Overview
  • Pandas for pre-processing and exploratory data analysis
  • Matplotlib and Seaborn for data visualization

Machine learning module

  • Supervised Learning
  • Ensemble Techniques
  • Unsupervised Learning
  • Time Series Forecasting and its various techniques Featurization, Model Selection & Tuning
  • Recommendation Systems

Deep Learning Module

Deep Learning - Image

  • Fundamentals of neural networks
  • Tensorflow / PyTorch
  • Feed Forward / Back Propagation
  • Various Gradient Descent approaches
  • Handling Model complexities
  • Importance & handling of various Hyper Parameters
  • Pre-Processing Techniques using OpenCV and Pillow
  • Various Grid Search – Optimization Algorithms for Deep Learning
  • Challenges in Grid Search
  • Object Classification- Various Pre-Trained Models for Image – Transfer Learning / Fine-tuning
  • Object Detection / Localization – RCNN / Fast RCNN / Faster RCNN / SSD(Single-Shot Detection) / YOLO / Detectron1/2 - Various Pre-Trained Models for Image – Transfer Learning / Fine-tuning
  • Auto Encoder and its variation
  • Generative Adversarial Network and its variation
  • API with Flask

Deep Learning - NLP

  • Introduction to Natural Language Processing
    • Pre-processing: Tokenization, Stop words, Normalization, Stemming and Lemmatization
    • Bag of Words and Tf-idf features
    • Language model
    • N-grams
    • Regular Expressionss
    • Word Analogies
  • Word Embedding - Static / Sequence Modelling / Language Modelling
  • Various libraries and its importance
  • Various Language Modelling for Text – Pre-Trained / Transfer Learning / Fine-tuning
  • Challenges in Sequencing Model
  • Importance of Attention
  • What is Transformer?
  • Comparative study of Language Model
  • How to handle Git and GitHub? Challenges in GitHub
  • Time Series Forecasting using TensorFlow
  • Includes exercises for Classroom Session for every topic
  • Challenges in Sequencing Model
  • Includes exercises for Classroom Session for every topic
  • Debugging using Visual Studio

Corporate AI Team Building

If you are an organization with a newly formed AI Team or thinking of forming one, we can help build it by imparting strong core skills for the employees. We would own the outcome for this relationship until the team is successful and can sustain on their own.

Time: Variable

Topics Covered

Machine Learning

  • Introduction to Data Science
  • Python for Data Science
  • Statistics for Business
  • Data Visualization
  • Predictive Modelling
  • Time Series Modelling

Deep Learning- Image

  • Various Pre-Processing techniques
  • Fundamentals of Neural Network
  • Statistics for Business
  • Advanced level of modelling using pretrained models / Transfer Learning /fine-tuning
  • Includes Image Classification / Object Detection / Semantic and Instance Segmentation

Deep Learning- NLP

  • Various Pre-Processing techniques
  • Word Embedding - Static / Sequence Modelling / Language Modelling
  • Various libraries and its importance
  • Various Language Modelling for Text – Pre-Trained / Transfer Learning / Fine-tuning
  • Various Encoder and Decoders Models in Deep Learning
  • Creating APIs with Flask

Instructor

Kalyan

Highly experienced in data science consulting industry. Strong Track record of creating successful data driven AI Based Solutions. Has Deep knowledge and provides Technical leadership for teams to help create predictive modeling, semantic analysis of large scale data. Strong knowledge in Advanced Analytics and delivery management using Agile Methodology.

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Outcome of this relationship

“Approach for finalizing the candidates for this AI team building will be based on the calibre, which will be assessed by looking at educational background, assessment by personal interviews and test coupled with their (existing) role in the Organization”

“Conducting various workshops for various teams

“Working on live projects with expert suggestions/views”

“Concentrating relevant skills enhancement”

“Value addition with this relationship”

  • Technology enablement from scratch
  • Recruitment for future team building
  • Methodology during Consulting
    • Onsite support - Hourly basis per week
    • Attending Daily / Weekly Scrum status calls
    • Owning project deliverables using Agile Methodologies

Testimonial

“I came in as intern to get exposure of Data science project as a part of our college credits and I am currently being guided by our senior mentor in the area of Computer Vision analysis to detect food groups and calorie estimation, I find it really interesting”

by Priyanka

“It's useful course for learning how to blend and develop learning and teaching experience to be more interactive with the help of multi-technology”

Feb 01, 2016 by Mohanasundari

“What I like most about this course was planning benefits, positive thinking, creative thoughts/actions”

Feb 01, 2016 by Robin

“A very nice introduction to Python 3 programming. The course lectures are quite engaging with hands-on practice and the programming assignments revise the learned concepts in step-by-step manner.”

Feb 01, 2016 by Goutham