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Participated in
DataHour: Continuous Testing and Evaluation with LLMs
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Participated in
DataHour: Harnessing ML and NLP for Elevated Customer Experiences
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Participated in
Janatahack: Cross-sell Prediction
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Participated in
LTFS Data Science FinHack 3
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Participated in
Janatahack: Healthcare Analytics II
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Participated in
DataHour: Demystifying Demand Forecasting for Retail Success
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Participated in
DataHour: Unwritten Rules for Success in Machine Learning
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Participated in
DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
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Participated in
DataHour: Machine Learning Tips and Tricks
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Participated in
DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
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Participated in
DataHour: Handling Satellite and Geospatial Raster Data in Python
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Participated in
DataHour: Titanic Machine Learning Case Study using Python
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Participated in
DataHour: Statistics with Python for Data Science
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Participated in
DataHour: Exploring Dimensionality Reduction
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Participated in
DataHour: Web Scraping using Python Libraries
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Participated in
DataHour: Introduction to Social Network Analysis
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Participated in
DataHour: Understanding Logistic Regression and Decision Tree Analysis
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Participated in
DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
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Participated in
DataHour: An Introduction to Machine Learning with Sequence Data
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Participated in
DataHour: FIFA World Cup Match Analysis Using Python
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Participated in
DataHour: Getting Started with Python
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Participated in
DataHour: Generating Labeled Data through Weak Supervision
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Participated in
DataHour: Feature Engineering and Selection for Machine Learning
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Participated in
DataHour: Best of Pandas & The Power of Simple Models
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Participated in
DataHour: Machine Learning on Live Streaming Data for AIOps
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Participated in
DataHour: Evaluation Criteria for Validating Machine Learning Models
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Participated in
DataHour: Forecasting & Time-series Analysis
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Participated in
DataHour: Boosting Performance with Ensemble Methods
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Participated in
DataHour: Feature Engineering and benefits of EDA
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Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
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Participated in
DataHour: Transforming HR with People Analytics
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Participated in
DataHour: Application of ML Classification Techniques in Banking Industry
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Participated in
DataHour: How to Forecast New Product Launches using Data Centric Approach
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Participated in
DataHour: Everything You Need to Know About Pandas
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Participated in
DataHour: Exploring the Best Book Sellers Dataset
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Participated in
DataHour: Data Preparation and Feature Engineering in ML
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Participated in
DataHour: Unlocking the Power of Embeddings
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Participated in
DataHour: A/B testing - Theory, Practice and Pitfalls
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Participated in
DataHour: Understanding Graph Data Science
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Participated in
DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
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Participated in
DataHour: Salary Analysis and Prediction Using ML
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Participated in
DataHour: Data Wrangling Using Geospatial Data in Python
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Participated in
DataHour: Diabetic Patients’ Readmission Prediction using ML
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Participated in
DataHour: No-code ML Hands-on using Orange Data Mining Tool
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Participated in
DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
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Participated in
HackLive 4: Guided Community Hackathon!
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Participated in
Webinar: Going Beyond your First ML Project
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Participated in
HackLive 2 - Guided Community Hackathon!
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Participated in
JanataHack: Recommendation Systems
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Participated in
Predict Number of Upvotes
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Participated in
HR Analytics
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Participated in
JanataHack: Demand Forecasting
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Participated in
Janatahack: Healthcare Analytics
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Participated in
Janatahack: Machine Learning in Agriculture
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Participated in
Webinar: Career Transition Into Data Science
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Participated in
Janatahack: Independence Day 2020 ML Hackathon
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Participated in
Loan Prediction
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Participated in
Big Mart Sales Prediction
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Participated in
JanataHack: Mobility Analytics
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Participated in
JanataHack: Machine Learning for Banking
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Participated in
Janatahack: Customer Segmentation
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Participated in
HackLive - Guided Community Hackathon!
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Participated in
Data Science Blogathon III
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Participated in
Janata Hack - Machine Learning Hackathon to support Janata Curfew
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Participated in
Data Science Blogathon 4
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Participated in
Panel Discussion: How to Ace DS Competitions?
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Participated in
Ascend Pro - Student Scholarship Test
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Participated in
Practice Problem: Urban Sound Classification
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Participated in
Data Science Blogathon - 8
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Participated in
Data Science Masterclass - Designing your First Dashboard in Tableau
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Participated in
DataHour: Think like a Data Scientist
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Participated in
Machine Learning Summer Training Hackathon
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Participated in
DataHour: An Overview of Feature Engineering for Data Science
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Participated in
DataHour: Lessons Learned from Hundreds of Machine Learning Projects
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Participated in
DataHour: Hands-on Workshop on Feature Engineering
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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Participated in
Hack4Retail by McKinsey & Company and Fozzy Group
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Participated in
DataHour: Effective Feature Engineering for Building Better Models
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Participated in
DataHour: Deploying Deep Learning model to production using FastAPI & Docker
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Participated in
DataHour: Improving Search Results with Semantic Search
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Participated in
DataHour: Introduction to Network Science
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Participated in
DataHour: Efficient Implementations of Transformers
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Participated in
DataHour: ML oops to MLOps!
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Participated in
Football Hackathon
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Participated in
DataHour: Data to Insightful Actions with No Code AI
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Participated in
Skill Test: Python for Data Science
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Participated in
Machine Learning Summer Training
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Participated in
DataHour: Careers in Data Science
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Participated in
DataHour: An Introduction and Hands-On to Named Entity Recognition
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Participated in
DataHour: Building NLP applications using Hugging Face
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Participated in
DataHour: Introduction to Interpretable Machine Learning
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Participated in
DataHour: Introduction to MLOps
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Participated in
DataHour: Causal Inference in Practice
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Participated in
DataHour: Hands-on with Social Network Analysis
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Participated in
Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
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Participated in
DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
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Participated in
DataHour: Deep Learning - Maths Behind Back-Propagation
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Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
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Participated in
DataHour: Everything you need to know about Speech Recognition
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Participated in
DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
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Participated in
DataHour: Building AI Applications in Minutes
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Participated in
DataHour: Real-world Applications of Data science
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Participated in
DataHour: Bias and Fairness in NLP
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Participated in
DataHour: Understanding Search Query
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Participated in
DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
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Participated in
DataHour: Computer Vision Landscape
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Participated in
DataHour: Making Sense of Clinical Text Data at Scale with NLP
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Participated in
DataHour: Next Leap - Data Science Adoption to Application
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Participated in
DataHour: MLOps—DevOps for Machine Learning
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Participated in
DataHour: Analyzing Movie Data using MongoDB
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Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
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Participated in
DataHour: Data Visualization using Python
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Participated in
DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
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Participated in
DataHour: Introduction to Explainable AI (XAI)
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Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
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Participated in
DataHour: Quantum Computing Simulator Acceleration
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Participated in
DataHour: Stirring up Data Science with SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: Trees of Data Science
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Participated in
DataHour: Dynamic Time Warping for Time Series Classification
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Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
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Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
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Participated in
DataHour: Data Operations on Azure
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Participated in
DataHour: Jumpstart your Career with AWS AI/ML
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Participated in
DataHour: Nirvana State of MLOps
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Participated in
DataHour: Introduction to GAN - A Practical Approach
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Participated in
DataHour: Product Oriented Data Scientists
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Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
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Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
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Participated in
DataHour: Data Science in Retail
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Participated in
DataHour: Data Science Data management using Pandas
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Participated in
DataHour: Mitigating Bias in Machine Learning
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Participated in
DataHour: Google Cloud AI/ML
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Participated in
DataHour: Forecasting Stories
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Participated in
DataHour: Energy Data Science - Project From Scratch
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Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
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Participated in
DataHour: Practical Applications of Data science in Ecommerce
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Participated in
DataHour: The Fundamentals of Quantum Computing
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Participated in
DataHour: Explainable AI - Need and Implementation
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Participated in
DataHour: How to tackle Overfitting?
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Participated in
DataHour: Hands-on with A/B Testing
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Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
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Participated in
DataHour: Building Data Pipelines on GCP
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Participated in
DataHour: Modern Deep Learning Architecture
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Participated in
DataHour: 5 things you should know about Azure SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: Everything You Need to Know About Numpy
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Participated in
DataHour: AI & ML in the Automotive Industry
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Participated in
DataHour: ETL Pipelines in GCP
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Participated in
DataHour: Knowledge Graph Solutions using Neo4j
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Participated in
DataHour: Practical Time Series Analysis
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Participated in
DataHour: Building Machine Learning Models in BigQuery
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Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
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Participated in
DataHour: An Introduction to Central Limit Theorem
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Participated in
Black Friday Sales Prediction
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Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
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Participated in
DataHour: A Day in the Life of a Data Scientist
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Participated in
DataHour: Classification ML Model from Scratch
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Participated in
DataHour: NLP aspects in Telecommunication Industry
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Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
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Participated in
DataHour: Visualizing Data using Python
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Participated in
DataHour: Getting Started with AWS EC2
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Participated in
DataHour: Model Guesstimation (MLOps)
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Participated in
DataHour: An Unsupervised ML approach using Clustering
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Participated in
DataHour: ML Model Interpretation and Evaluation
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Participated in
DataHour: M in ML stands for Math & Magic
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Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
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Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
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Participated in
DataHour: Introduction to Federated Learning
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Participated in
DataHour: Extracting Value from Data
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Participated in
DataHour: Ensemble Techniques in Machine Learning
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Participated in
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
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Participated in
DataHour: Introduction to Classification using Azure Machine Learning
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Participated in
DataHour: Hypothesis Testing A-Z
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Participated in
DataHour: How to Approach an ML Problem Statement from Scratch
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Participated in
DataHour: Netflix Data Analysis using Python
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Participated in
DataHour: The Art of Feature Engineering
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Participated in
DataHour: Causal Experimentations - When A/B Test is Not Possible
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Participated in
DataHour: Introduction to Positive Unlabelled(PU) Learning
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Participated in
DataHour: Introduction and Hands-on workshop with Reinforcement Learning
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Participated in
DataHour: Need for Self Supervised Learning - Practice at SAP
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Participated in
DataHour: Practical Hypothesis Testing
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Participated in
DataHour: Exploratory Data Analysis with F#
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Participated in
DataHour: Steps before using an ML Model
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Participated in
DataHour: Statistics in Data Science
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Participated in
DataHour: Understanding Dimensionality Reduction
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Participated in
DataHour: HIV Analysis using ML and Flutter
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Participated in
DataHour: Python Data Structures
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Participated in
DataHour: Exploring Heart Disease Data using Python
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Participated in
DataHour: Evaluation Measures for Binary Classification
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Participated in
DataHour: Building and Operationalizing an Explainable Predictive Model
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Participated in
DataHour: How do Algorithms Generate Recommendations?
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Participated in
DataHour: Classification Algorithms Evaluation Metrics
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Participated in
DataHour: Advanced Exploratory Data Analysis on Credit Data
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Participated in
DataHour: Exploring Multi-label & Multi-class Classification
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Participated in
DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
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Participated in
DataHour: Diabetes Prediction Using Survival Analysis
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Participated in
DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
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Participated in
DataHour: Analyzing Loan Application Data using Python
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Participated in
DataHour: Hyperparameter Optimization Demystified
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Participated in
DataHour: Introduction to Optimization using Genetic Algorithms
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Participated in
DataHour: Understanding Logistic Regression
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Participated in
DataHour: Anomaly Detection in Time Series Data
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Participated in
DataHour: Real-time Machine Learning - Challenges and Solution
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Participated in
DataHour: Experiments with Interpretable Artificial Intelligence
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Participated in
DataHour: Basic Concepts of Object Oriented Programming in Python
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