JayaPrakash

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About JayaPrakash

Member Since March 25, 2017, 9:36 p.m.
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Participated in Skilltest: Deep Learning and secured rank 203
Participated in Recommendation Engine
Participated in Felicity : Kings of Machine Learning
Participated in Practice Problem: Strategic Thinking II
Participated in Practice Problem: Urban Sound Classification
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Data Science Interview Preparation Test
Participated in Time Series Forecasting
Participated in Experiments with Data
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Skilltest: Logistic Regression
Participated in Lord of the Machines: Data Science Hackathon
Participated in DataHack Premier League 2018
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in Janatahack: Healthcare Analytics II
Participated in Joke Rating Prediction
Participated in Identify the Sentiments
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Machine Learning in Agriculture
Participated in JanataHack: Recommendation Systems
Participated in Loan Prediction
Participated in Identify the Digits (MNIST)
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Share & Empower
Participated in Identify the apparels (Fashion MNIST)
Participated in Food Demand Forecasting
Participated in LTFS Data Science FinHack 3
Participated in Big Mart Sales Prediction
Participated in Black Friday Sales Prediction
Participated in Janatahack: Cross-sell Prediction
Participated in DataHour: Think like a Data Scientist
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Introduction to Network Science
Participated in DataHour: ML oops to MLOps!
Participated in Skill Test: Python for Data Science
Participated in Machine Learning Summer Training
Participated in DataHour: Careers in Data Science
Participated in Machine Learning Summer Training Hackathon
Participated in DataHour: Building NLP applications using Hugging Face
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: Hands-on with Social Network Analysis
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
Participated in DataHour: Deep Learning - Maths Behind Back-Propagation
Participated in DataHour: Everything you need to know about Speech Recognition
Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
Participated in DataHour: Building AI Applications in Minutes
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Real-world Applications of Data science
Participated in DataHour: Bias and Fairness in NLP
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Computer Vision Landscape
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
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: Understanding AWS Virtual Private Cloud(VPC) Concepts
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: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Explainable AI - Need and Implementation
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
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