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Participated in
#AVdatafest SkillPower: Machine Learning
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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
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: 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
Black Friday Sales Prediction
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Participated in
DataHour: Blockchain 101
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Participated in
Skilltest: Ensemble Modeling
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Participated in
Data Science Interview Preparation Test
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Participated in
Click Prediction Hackathon
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Participated in
Skilltest: SAS
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Participated in
Practice Problem: Strategic Thinking II
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Participated in
#AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
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Participated in
#AVdatafest Webinar: Use of Analytics in Insurance Industry
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Participated in
#AVdatafest: The Strategic Thor
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Participated in
Big Mart Sales Prediction
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Participated in
Practice Problem: Skilltest - Machine Learning
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Participated in
#AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
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Participated in
#AVdatafest DATAHACK HOUR
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Participated in
#AVdatafest PowerTool: Python for Data Science
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Participated in
#AVdatafest The QuickSolver : Machine Learning Mini-Hack
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Participated in
Skilltest: Statistics
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Participated in
Skilltest: Statistics II
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Participated in
DataHour: Building Beautiful Apps using Flutter and its Powerful Ecosystem
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Participated in
Skilltest: Clustering
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Participated in
#AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
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Participated in
#AVdatafest PowerTool: SQL
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Participated in
DataHour: Data to Insightful Actions with No Code AI
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Participated in
DataHour: Diving into Blockchain Development
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Participated in
DataHour: Voting Dapp Smart Contracts
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Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
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Participated in
DataHour: Blockchain Use Cases with Case Studies
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Participated in
DataHour: StableCoin - Backbone of Cryptocurrency
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Participated in
DataHour: ERC Tokens in Hyperledger Fabric
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Participated in
DataHour: All about SOLID Principles
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Participated in
DataHour: Everything You Need to Know About Numpy
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Participated in
DataHour: Overview of Blockchain and Data
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Participated in
DataHour: Effective Code Review 101
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Participated in
DataHour: An Introduction to Central Limit Theorem
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Participated in
DataHour: ML Model Interpretation and Evaluation
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Participated in
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
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Participated in
DataHour: Netflix Data Analysis using Python
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Participated in
DataHour: Exploratory Data Analysis with F#
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Participated in
DataHour: An Introduction to the Metaverse
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Participated in
DataHour: NFTs - Friend or FOMO?
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Participated in
DataHour: Tokenomics for Beginners
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Participated in
DataHour: Build Apps Easily with Firebase
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Participated in
DataHour: Practical Hypothesis Testing
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Participated in
DataHour: Indeterminate String Matching
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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
Skilltest: Deep Learning
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Participated in
DataHour: Web3 - Benefits, Adoption & Challenges
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Participated in
DataHour: Beginner to Pro on Powerapps using Azure
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Participated in
DataHour: Breakdown of Bitcoin
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Participated in
DataHour: Fundamentals of Blockchain and Cryptocurrencies
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Participated in
DataHour: HIV Analysis using ML and Flutter
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Participated in
DataHour: Introduction to Metaverses and the shift in Marketing Paradigms
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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: Software Engineering- A Methodology for Reliable Software
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Participated in
DataHour: Web 3.0 - Exploring the Unexplored
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Participated in
DataHour: Bitcoin, Lightning Network and Adoption Trends
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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 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: 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: Ethereum Blockchain & Smart Contracts
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Participated in
DataHour: Emerging Careers in Blockchain, Web3, NFTs and Metaverse
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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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