|
Participated in
LTFS Data Science FinHack ( ML Hackathon)
|
|
Participated in
Club Mahindra DataOlympics
|
|
Participated in
India ML Hiring Hackathon 2019
|
|
Participated in
JanataHack: NLP Hackathon
|
|
Participated in
WNS Analytics Wizard 2019
|
|
Participated in
JanataHack: HR Analytics
|
|
Participated in
Dataverse Hack
|
|
Participated in
JanataHack - E-Commerce Analytics ML Hackathon
|
|
Participated in
AmExpert 2019 – Machine Learning Hackathon
|
|
Participated in
LTFS Data Science FinHack 2
|
|
Participated in
Game of Deep Learning: Computer Vision Hackathon
|
|
Participated in
JanataHack: Mobility Analytics
|
|
Participated in
Webinar: How to crack Big Data & Data Science Role?
|
|
Participated in
Skilltest: Deep Learning
|
|
Participated in
Skilltest: Machine Learning
|
|
Participated in
The Strategic Monk
|
|
Participated in
Skilltest: SQL
|
|
Participated in
Skilltest: Clustering
|
|
Participated in
Data Science Hackathon: Churn Prediction
|
|
Participated in
Skilltest: Ensemble Modeling
|
|
Participated in
Big Mart Sales Prediction
|
|
Participated in
Twitter Sentiment Analysis
|
|
Participated in
Skilltest: Tree Based Algorithms
|
|
Participated in
The Strategic Ball
|
|
Participated in
Practice Problem: Intel Scene Classification Challenge
|
|
Participated in
Black Friday Sales Prediction
|
|
Participated in
JanataHack: Time Series Forecasting
|
|
Participated in
Face Counting Challenge
|
|
Participated in
QuantumBlack Hackathon
|
|
Participated in
Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
|
|
Participated in
Recommendation Engine
|
|
Participated in
Skilltest: Regression
|
|
Participated in
Practice Problem: Strategic Thinking II
|
|
Participated in
Food Demand Forecasting
|
|
Participated in
The Strategic Saviour
|
|
Participated in
Age Detection of Actors
|
|
Participated in
Identify the Digits (MNIST)
|
|
Participated in
Practice Problem: Urban Sound Classification
|
|
Participated in
Identify the apparels (Fashion MNIST)
|
|
Participated in
HR Analytics
|
|
Participated in
Time Series Forecasting
|
|
Participated in
Experiments with Data
|
|
Participated in
#AVdatafest PowerTool: R for Data Science
|
|
Participated in
Identify the Sentiments
|
|
Participated in
Predict Number of Upvotes
|
|
Participated in
Janata Hack - Machine Learning Hackathon to support Janata Curfew
|
|
Participated in
JanataHack: Recommendation Systems
|
|
Participated in
JanataHack: Machine Learning for Banking
|
|
Participated in
JanataHack: Computer Vision Hackathon
|
|
Participated in
Loan Prediction
|
|
Participated in
JanataHack: Demand Forecasting
|
|
Participated in
JanataHack: Machine Learning for IoT
|
|
Participated in
Janatahack: Customer Segmentation
|
|
Participated in
Janatahack: Healthcare Analytics
|
|
Participated in
Janatahack: Machine Learning in Agriculture
|
|
Participated in
HackLive - Guided Community Hackathon!
|
|
Participated in
DataHour: Think like a Data Scientist
|
|
Participated in
Panel Discussion: How to Ace DS Competitions?
|
|
Participated in
DataHour: Introduction to Data-driven Decisions
|
|
Participated in
DataHour: Effective Feature Engineering for Building Better Models
|
|
Participated in
DataHour: An Overview of Feature Engineering for Data Science
|
|
Participated in
DataHour: Efficient Implementations of Transformers
|
|
Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
|
|
Participated in
DataHour: MLOps—DevOps for Machine Learning
|
|
Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
|
|
Participated in
DataHour: ML oops to MLOps!
|
|
Participated in
DataHour: Deploying Deep Learning model to production using FastAPI & Docker
|
|
Participated in
DataHour: Next Leap - Data Science Adoption to Application
|
|
Participated in
DataHour: Introduction to Network Science
|
|
Participated in
DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
|
|
Participated in
DataHour: Analyzing Movie Data using MongoDB
|
|
Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
|
|
Participated in
DataHour: Data Visualization using Python
|
|
Participated in
DataHour: Introduction to Explainable AI (XAI)
|
|
Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
|
|
Participated in
DataHour: Quantum Computing Simulator Acceleration
|
|
Participated in
DataHour: Stirring up Data Science with SQL
|
|
Participated in
DataHour: Prediction to Production in Machine Learning
|
|
Participated in
DataHour: Trees of Data Science
|
|
Participated in
DataHour: Dynamic Time Warping for Time Series Classification
|
|
Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
|
|
Participated in
DataHour: Data Operations on Azure
|
|
Participated in
DataHour: Jumpstart your Career with AWS AI/ML
|
|
Participated in
DataHour: Nirvana State of MLOps
|
|
Participated in
DataHour: Introduction to GAN - A Practical Approach
|
|
Participated in
DataHour: Product Oriented Data Scientists
|
|
Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
|
|
Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
|
|
Participated in
DataHour: Data Science in Retail
|
|
Participated in
DataHour: Data Science Data management using Pandas
|
|
Participated in
DataHour: Mitigating Bias in Machine Learning
|
|
Participated in
DataHour: Google Cloud AI/ML
|
|
Participated in
DataHour: Forecasting Stories
|
|
Participated in
DataHour: Energy Data Science - Project From Scratch
|
|
Participated in
DataHour: Explainable AI - Need and Implementation
|
|
Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
|
|
Participated in
DataHour: Practical Applications of Data science in Ecommerce
|
|
Participated in
DataHour: The Fundamentals of Quantum Computing
|
|
Participated in
DataHour: How to tackle Overfitting?
|
|
Participated in
DataHour: Hands-on with A/B Testing
|
|
Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
|
|
Participated in
DataHour: Building Data Pipelines on GCP
|
|
Participated in
DataHour: Modern Deep Learning Architecture
|
|
Participated in
DataHour: 5 things you should know about Azure SQL
|
|
Participated in
DataHour: Prediction to Production in Machine Learning
|
|
Participated in
DataHour: AI & ML in the Automotive Industry
|
|
Participated in
DataHour: ETL Pipelines in GCP
|
|
Participated in
DataHour: Knowledge Graph Solutions using Neo4j
|
|
Participated in
DataHour: Practical Time Series Analysis
|
|
Participated in
DataHour: Building Machine Learning Models in BigQuery
|
|
Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
|
|
Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
|
|
Participated in
DataHour: A Day in the Life of a Data Scientist
|
|
Participated in
DataHour: Classification ML Model from Scratch
|
|
Participated in
DataHour: NLP aspects in Telecommunication Industry
|
|
Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
|
|
Participated in
DataHour: Visualizing Data using Python
|
|
Participated in
DataHour: Getting Started with AWS EC2
|
|
Participated in
DataHour: Model Guesstimation (MLOps)
|
|
Participated in
DataHour: An Unsupervised ML approach using Clustering
|
|
Participated in
DataHour: M in ML stands for Math & Magic
|
|
Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
|
|
Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
|
|
Participated in
DataHour: Introduction to Federated Learning
|
|
Participated in
DataHour: Extracting Value from Data
|
|
Participated in
DataHour: Convolution Neural Network for Image Recognition
|
|
Participated in
DataHour: Ensemble Techniques in Machine Learning
|
|
Participated in
DataHour: Introduction to Classification using Azure Machine Learning
|
|
Participated in
DataHour: Hypothesis Testing A-Z
|
|
Participated in
DataHour: How to Approach an ML Problem Statement from Scratch
|
|
Participated in
DataHour: Diffusion Models for Generative Arts
|
|
Participated in
DataHour: The Art of Feature Engineering
|
|
Participated in
DataHour: Causal Experimentations - When A/B Test is Not Possible
|
|
Participated in
DataHour: Introduction to Positive Unlabelled(PU) Learning
|
|
Participated in
DataHour: Introduction and Hands-on workshop with Reinforcement Learning
|
|
Participated in
DataHour: Need for Self Supervised Learning - Practice at SAP
|
|
Participated in
DataHour: Understanding the Basics of a Neural Network
|
|
Participated in
DataHour: Practical Hypothesis Testing
|
|
Participated in
DataHour: Steps before using an ML Model
|
|
Participated in
DataHour: Statistics in Data Science
|
|
Participated in
DataHour: Understanding Dimensionality Reduction
|
|
Participated in
Dataverse Hack: Build an AI Model to Save Lives
|
