Saurav_Mehta

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About Saurav_Mehta

Member Since May 26, 2015, 8:24 p.m.
Location Noida
Area of Interest Logistic Regression, Decision Trees, Cluster Analysis, Discriminant Analysis, K-Means Clustering, Statistical Analysis: Hypothesis Testing, Regression modelling & validation - Multivariate Linear Regression, Multinomial Logit Regression, Correlation Analysis, Missing Data Imputation. Customer Analytics: Customer segmentation, Collaborative filtering. Data Mining: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), K-nearest Neighbors, Support Vector Machines, Random Forest.

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Participated in Skilltest: Logistic Regression and secured rank 288
Participated in DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
Participated in DataHour: Implementing Gradient Descent in Python
Participated in DataHour: Hands-on Journey to Neural Networks
Participated in DataHour: How to Build a Multi Task Model using TensorFlow
Participated in DataHour: Deep Learning for Time Series Forecasting
Participated in DataHour: A Simple Guide to Deep Metric Learning
Participated in DataHour: Contrastive Learning for Image Classification
Participated in DataHour: An Introduction to Vision for Robotics
Participated in DataHour: An Overview of Computer Vision
Participated in DataHour: Introduction to Deep Learning with FastAI
Participated in DataHour: Demystifying RCNN Family for Object Detection
Participated in DataHour: Implementing a Neural Network using Pytorch
Participated in DataHour: An Introduction to Google Vision API
Participated in DataHour: Understanding Stable Diffusion & Prompt Engineering
Participated in DataHour: Image Classification using Deep Learning Models
Participated in DataHour: Building Efficient Convolution Networks for Image Classification Tasks
Participated in Age Detection of Actors
Participated in Black Friday Sales Prediction
Participated in Lord of the Machines: Data Science Hackathon
Participated in Loan Prediction
Participated in Experiments with Data
Participated in Skilltest: Linear Regression
Participated in Practice Problem: Strategic Thinking II
Participated in Webinar : How to crack Big Data & Data Science roles
Participated in The Strategic Monk
Participated in AV Express Online: Kickstart your Data Science career (Webinar)
Participated in #AVdatafest PowerTool: R for Data Science
Participated in Data Science Interview Preparation Test
Participated in Fireside Chat with DJ Patil (Delhi NCR)
Participated in AV LearnUp Mumbai: Exploratory Data Analysis
Participated in Webinar on Machine Learning & Advanced Analytics for Smart Cities
Participated in Click Prediction Hackathon
Participated in Know Show: Article Writing Competition by NMIMS, Hyderabad
Participated in Codefest: Enigma
Participated in Skilltest: Tree Based Algorithms
Participated in Skilltest: Clustering and secured rank 275
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Skilltest: Dimensionality Reduction
Participated in Practice Problem: Skilltest - Machine Learning
Participated in #AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
Participated in Time Series Forecasting
Participated in Data Science Hackathon: Churn Prediction
Participated in Fractal Analytics Hiring Hackathon
Participated in Recommendation Engine
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics
Participated in VISTA codeFest Computer Vision
Participated in Linguipedia codeFest Natural Language Processing
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in Enigma codeFest Machine Learning
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in McKinsey Analytics Online Hackathon
Participated in HR Analytics
Participated in Face Counting Challenge
Participated in Identify the Sentiments
Participated in Predict Number of Upvotes
Participated in WNS Analytics Wizard 2019
Participated in #AVdatafest Webinar: Use of Analytics in Insurance Industry
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in DataHour: Think like a Data Scientist
Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Introduction to Network Science
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Next Leap - Data Science Adoption to Application
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: Explainable AI - Need and Implementation
Participated in DataHour: Energy Data Science - Project From Scratch
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: Time Series analysis using LSTM
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: Convolution Neural Network for Image Recognition
Participated in DataHour: Diffusion Models for Generative Arts
Participated in DataHour: Understanding the Basics of a Neural Network
Participated in Twitter Sentiment Analysis
Participated in DataHour: GANs Revolutionizing the World!
Participated in DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
Participated in DataHour: Exploring the Fundamentals of DeepMatch
Participated in DataHour: YOLO Object Detection using Python
Participated in DataHour: Training Your First PyTorch Model
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
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