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Participated in
Janatahack: Cross-sell Prediction
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Participated in
JanataHack: Demand Forecasting
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Participated in
Club Mahindra DataOlympics
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Participated in
Student DataFest 2018: The Data Identity
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Participated in
Student DataFest 2018: The Data Supremacy
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Participated in
LTFS Data Science FinHack ( ML Hackathon)
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Participated in
[Student DataFest 2018] Skilltest - Intro to Machine Learning
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Participated in
AmExpert 2019 – Machine Learning Hackathon
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Participated in
ML Hikeathon (An Online Machine Learning Hackathon)
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Participated in
DataHour: Geospatial Data Analysis
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Participated in
DataHour: Exploratory Data Analysis using Matplotlib and Seaborn
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Participated in
DataHour: Comparative Analysis in Qlik Sense
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Participated in
DataHour: Data Visualization in 3D with Unity 3D
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Participated in
DataHour: Visualising Geospatial Data in Python Using Geopandas
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Participated in
Webinar : How to Become a Data Scientist in 2019
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Participated in
Practice Problem: Intel Scene Classification Challenge
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Participated in
[Student DataFest 2018] Skilltest - Ensemble Learning
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Participated in
Food Demand Forecasting
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Participated in
Janatahack: Machine Learning in Agriculture
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Participated in
JanataHack: Recommendation Systems
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Participated in
Janatahack: Healthcare Analytics II
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Participated in
Webinar: Storytelling using Visualizations
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Participated in
Janatahack: Healthcare Analytics
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Participated in
Janatahack: Customer Segmentation
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Participated in
Janatahack: Independence Day 2020 ML Hackathon
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Participated in
WNS Analytics Wizard 2019
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Participated in
Webinar: Beyond forecasting and predictions - Using Machine Learning to Control Real-World Systems
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Participated in
DataHour: Think like a Data Scientist
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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: Efficient Implementations of Transformers
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Participated in
DataHour: Introduction to Network Science
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Participated in
DataHour: ML oops to MLOps!
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
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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: An Introduction and Hands-On to Named Entity Recognition
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Participated in
DataHour: Everything you need to know about Speech Recognition
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Participated in
DataHour: Hands-on with Social Network Analysis
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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: MLOps—DevOps for Machine Learning
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Participated in
DataHour: Bias and Fairness in NLP
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Participated in
DataHour: Next Leap - Data Science Adoption to Application
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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: 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: 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: Explainable AI - Need and Implementation
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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: 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: How to Build Interactive Dashboards using Power BI and Excel
|
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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: 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: 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: Data Visualization in Data Science
|
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Participated in
DataHour: Master Yourself in Google Analytics
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Participated in
DataHour: Towards Data Storytelling
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Participated in
DataHour: Introduction to DAX and Case Study
|
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Participated in
DataHour: Visualizing Data with Python
|
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Participated in
DataHour: Solving BI challenges with Power BI & Automate
|
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Participated in
DataHour: Power-up Data Insights Leveraging Power BI
|
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Participated in
DataHour: Automate Repetitive Tasks using Excel VBA
|
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Participated in
DataHour: Building Python Dashboard using Plotly Dash
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