Participated in
Janatahack: Independence Day 2020 ML Hackathon
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Participated in
LTFS Data Science FinHack 2
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Participated in
Janatahack: Customer Segmentation
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Participated in
Dataverse Hack
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Participated in
AmExpert 2019 – Machine Learning Hackathon
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Participated in
JanataHack: Time Series Forecasting
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Participated in
JanataHack: Recommendation Systems
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Participated in
LTFS Data Science FinHack 3
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Participated in
JanataHack - E-Commerce Analytics ML Hackathon
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Participated in
JanataHack: Mobility Analytics
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Participated in
JanataHack: NLP Hackathon
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Participated in
JanataHack: HR Analytics
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Participated in
JanataHack: Machine Learning for Banking
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Participated in
JanataHack: Machine Learning for IoT
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Participated in
WNS Analytics Wizard 2019
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Participated in
JanataHack: Demand Forecasting
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Participated in
HackLive 4: Guided Community Hackathon!
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Participated in
Janatahack: Healthcare Analytics II
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Participated in
Janatahack: Healthcare Analytics
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Participated in
Janatahack: Cross-sell Prediction
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Participated in
HackLive 3: Guided Hackathon - NLP
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Participated in
Genpact Machine Learning Hackathon
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Participated in
WNS Triange Hackquest
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Participated in
DataHour: Interpreting Machine Learning Models with Python
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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: Basics of Big Data File Formats
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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: Google Cloud Vertex AI Platform
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Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
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Participated in
DataHour: Data Availability Through Data Lake in Large Organization
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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: Caching in Data Science
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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: Dataflow on Google Cloud
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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: How Companies Use SQL to Extract Meaningful Insights Through Data?
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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: Analyzing Data with SQL
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Participated in
DataHour: Building a Web Application using Flask
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Participated in
DataHour: Google Cloud No Code/Low Code AI Solutions
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Participated in
DataHour: Roadmap to Data Engineering for Beginners
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Participated in
DataHour: Data Architect vs Data Engineer
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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: Building Effective Data Pipelines
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Participated in
DataHour: Deep Dive into Airflow Components
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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: An Introduction to Spark for Data Engineering
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Participated in
DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
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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: Making Data Pipelines Easy with Dataproc and Composer
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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
DataHour: Introduction to Docker
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Participated in
DataHour: Data Engineering - Tools and Techniques
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Participated in
DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
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Participated in
DataHour: Data Engineering in a Nutshell
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Participated in
Webinar: Business Analytics Vs Data Science
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Participated in
Practice Problem: Strategic Thinking II
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Participated in
McKinsey Analytics Online Hackathon - Healthcare Analytics
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Participated in
Joke Rating Prediction
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Participated in
Loan Prediction
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Participated in
Practice Problem: Urban Sound Classification
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Participated in
Webinar: How to Get Started with Natural Language Processing (NLP)
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Participated in
Practice Problem: Intel Scene Classification Challenge
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Participated in
Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
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Participated in
Time Series Forecasting
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Participated in
Identify the apparels (Fashion MNIST)
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Participated in
Food Demand Forecasting
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Participated in
Predict Number of Upvotes
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Participated in
Identify the Sentiments
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Participated in
Analytics Vidhya Internship Challenge
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Participated in
Twitter Sentiment Analysis
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Participated in
Webinar: Problem Solving using AI - The QuantumBlack Story
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Participated in
Face Counting Challenge
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Participated in
Webinar: Introduction to Qlik Sense
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Participated in
Black Friday Sales Prediction
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Participated in
Janata Hack - Machine Learning Hackathon to support Janata Curfew
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Participated in
Identify the Digits (MNIST)
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Participated in
Webinar : How to Become a Data Scientist in 2019
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Participated in
DataHack Premier League 2018
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Participated in
Data Science Blogathon 5
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Participated in
Machine Learning Starter Program Hackathon
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Participated in
Recommendation Engine
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Participated in
HackLive 2 - Guided Community Hackathon!
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Participated in
Share & Empower
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Participated in
Janatahack: Machine Learning in Agriculture
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Participated in
Age Detection of Actors
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Participated in
HackLive - Guided Community Hackathon!
|
Participated in
Data Science Blogathon
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Participated in
Data Science Blogathon 4
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Participated in
2nd Global AI Conclave 2021
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Participated in
Ascend Pro - Student Scholarship Test
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Participated in
Panel Discussion: How to Ace DS Competitions?
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Participated in
Big Mart Sales Prediction
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Participated in
Skilltest: SQL
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Participated in
Hack4Retail by McKinsey & Company and Fozzy Group
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Participated in
AmExpert 2021 – Machine Learning Hackathon
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Participated in
DataHour: Introduction to Data-driven Decisions
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Participated in
DataHour: Effective Feature Engineering for Building Better Models
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Participated in
Football Hackathon
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Participated in
Skill Test: Python for Data Science
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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: Deep Dive into Kubernetes and Concepts of Containerization
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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
Machine Learning Summer Training
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Participated in
Machine Learning Summer Training Hackathon
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Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
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Participated in
DataHour: An Introduction to AWS EMR
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Participated in
DataHour: Introduction To BigQuery ML
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Participated in
DataHour: Everything You Need to Know About Numpy
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Participated in
Dataverse Hack: Build an AI Model to Save Lives
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Participated in
DataHour: Data Modeling Concepts
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Participated in
DataHour: Getting Started with Big Data
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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: Predicting Road Quality using AI - An MLOps Demo Pipeline
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Participated in
DataHour: Exploring Heart Disease Data using Python
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Participated in
DataHour: SQL - Intermediate to Advanced
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Participated in
DataHour: Big Data Architecture and the Best Practices on AWS
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Participated in
DataHour: Introduction to Dimensional Data Modelling
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Participated in
DataHour: Advance SQL - Analytics/Windows Functions
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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: Cloud Dataproc - Migrate and Optimize Spark Workloads
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Participated in
DataHour: Building Cloud Native Data Pipelines
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Participated in
DataHour: Diabetes Prediction Using Survival Analysis
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Participated in
DataHour: Data Modelling Demystified
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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: Get Started with Hadoop
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Participated in
DataHour: An Introduction to Apache Airflow
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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: An Introduction to Big Data Processing using Apache Spark
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Participated in
DataHour: Google BigQuery - The Modern Cloud Data Warehouse
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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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