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Participated in
Skilltest : R for Data Science
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Participated in
Skilltest: Tree Based Models
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Participated in
Skilltest: Statistics
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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: Industrial Application of Large Language Models like ChatGPT
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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: Unlocking Business Growth - The Power of Customer Segmentation
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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: Personalizing Demand Planning Using Scenario Analysis
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Participated in
DataHour: ChatGPT and the Future of NLP Systems
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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: Application of Data Science in Insurance Industry
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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: How Good is AI for Conversations?
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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: Data Science in Banking Industry
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Participated in
DataHour: Understanding Energy Industry through EDA
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Participated in
DataHour: Metrics in Tech - Using Data to Drive Business Decisions
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Participated in
DataHour: Exploring the Best Book Sellers Dataset
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Participated in
DataHour: Solving Business Problems with Microsoft Excel
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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
Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad)
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Participated in
#AVdatafest Xtreme ML Hack : Machine Learning Hackathon
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Participated in
AVdatafest : Experiments With Data
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Participated in
Skilltest: Python for Data Science
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Participated in
Skilltest: Machine Learning
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Participated in
Skilltest: Regression
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Participated in
Skilltest: Dimensionality Reduction
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Participated in
#AVdatafest Rise of the Hero: Write Your Story
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Participated in
#AVdatafest DATAHACK HOUR
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Participated in
#AVdatafest: The Strategic Thor
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Participated in
#AVdatafest PowerTool: SQL
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Participated in
Skilltest: k-Nearest Neighbor (kNN)
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Participated in
Loan Prediction
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Participated in
AV Casino : Introduction to Probability
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Participated in
Skilltest: Ensemble Modeling
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Participated in
#AVdatafest PowerTool: R for Data Science
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Participated in
#AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
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Participated in
Age Detection of Actors
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Participated in
Time Series Forecasting
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Participated in
Mini Hack : Strategic Thinking
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Participated in
The Strategic Monk
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Participated in
The Strategic Ball
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Participated in
#AVdatafest SkillPower: Machine Learning
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Participated in
#AVdatafest SkillPower: Deep Learning
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Participated in
#AVdatafest SkillPower: Time Series
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Participated in
Black Friday Sales Prediction
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Participated in
Twitter Sentiment Analysis
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Participated in
Strategic Sprint
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Participated in
Knocktober 2016
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Participated in
Skilltest: Tree Based Algorithms
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Participated in
The Strategic Saviour
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Participated in
Practice Problem: Skilltest - Machine Learning
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Participated in
Skilltest: SQL
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Participated in
Skilltest: Clustering
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Participated in
Strategic Sprint Mar 2017
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Participated in
#AVdatafest The Mightiest Pen : Blogging Competition
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Participated in
#AVdatafest The QuickSolver : Machine Learning Mini-Hack
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Participated in
#AVdatafest Launch Party & Panel Discussion
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Participated in
Webinar: Introduction to TensorFlow with Intel Optimizations
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Participated in
McKinsey Analytics Online Hackathon - Sales Excellence
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Participated in
Webinar: How to crack Big Data & Data Science Role?
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Participated in
Skilltest: Statistics II
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Participated in
Webinar: Getting Started with Recommendation Engines
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Participated in
LTFS Data Science FinHack 3
|
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Participated in
HackLive - Guided Community Hackathon!
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Participated in
HackLive 2 - Guided Community Hackathon!
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Participated in
Big Break in Big Data: Sapient Talent Hunt for Data Engineers
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Participated in
DataHour: Data to Insightful Actions with No Code AI
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Participated in
DataHour: Data Management and AI
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Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
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Participated in
DataHour: Everything You Need to Know About Numpy
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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
Skilltest: Deep 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: Using Data Science Methodology to Assess Equity in Communication
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Participated in
DataHour: Diving into the field of Data Analytics
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Participated in
DataHour: How to start your Kaggle journey?
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Participated in
DataHour: Practical Hypothesis Testing
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Participated in
DataHour: Data Science Use Cases
|
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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: Data Science Use Cases - Part 2
|
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Participated in
DataHour: An Empathetic AI for Healthcare
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Participated in
DataHour: HIV Analysis using ML and Flutter
|
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Participated in
DataHour: Churn Analytics in Telcos
|
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Participated in
DataHour: An Introduction to Extended Reality (XR)
|
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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: Quantum Computing in Financial Industry
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Participated in
DataHour: How Data Science is used in Fintech?
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Participated in
DataHour: Building and Operationalizing an Explainable Predictive Model
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Participated in
DataHour: Importance of Statistics in Data Science and Machine Learning
|
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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: Transforming Business Challenges into Data Driven Solution
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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: Understanding ChatGPT and its Use Cases
|
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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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