Sanath sekhar Reddy Nallareddi

image
  • 6942
    Rank
  • 0
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

No badges earned on Datahack

About Sanath sekhar Reddy Nallareddi

Member Since April 14, 2017, 9:29 p.m.
Location None
Area of Interest

Activity

No blogs found

No Discussions found
Participated in #AVdatafest: The Strategic Thor and secured rank 161
Participated in #AVdatafest SkillPower: Machine Learning and secured rank 82
Participated in #AVdatafest SkillPower: Deep Learning and secured rank 167
Participated in Data Science Blogathon - 43
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
Participated in Data Science Blogathon 42
Participated in Data Science Blogathon - 41
Participated in WNS Triange Hackquest
Participated in Data Science Blogathon - 40
Participated in Data Science Blogathon - 39
Participated in DataHour: Demystifying Demand Forecasting for Retail Success
Participated in DataHour: Unwritten Rules for Success in Machine Learning
Participated in DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
Participated in Data Science Blogathon - 38
Participated in DataHour: Machine Learning Tips and Tricks
Participated in Data Science Blogathon - 37
Participated in Data Science Blogathon - 36
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
Participated in Data Science Blogathon - 35
Participated in Data Science Blogathon - 34
Participated in Data Science Blogathon - 33
Participated in Data Science Blogathon - 32
Participated in DataHour: Handling Satellite and Geospatial Raster Data in Python
Participated in DataHour: Titanic Machine Learning Case Study using Python
Participated in DataHour: Statistics with Python for Data Science
Participated in DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
Participated in DataHour: Exploring Dimensionality Reduction
Participated in Data Science Blogathon - 31
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: Understanding Logistic Regression and Decision Tree Analysis
Participated in DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
Participated in DataHour: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Getting Started with Python
Participated in DataHour: Implementing Gradient Descent in Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: Hands-on Journey to Neural Networks
Participated in DataHour: How to Build a Multi Task Model using TensorFlow
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Deep Learning for Time Series Forecasting
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in Data Science Blogathon - 30
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: A Simple Guide to Deep Metric Learning
Participated in DataHour: Contrastive Learning for Image Classification
Participated in DataHour: Transforming HR with People Analytics
Participated in DataHour: Application of ML Classification Techniques in Banking Industry
Participated in DataHour: How to Forecast New Product Launches using Data Centric Approach
Participated in DataHour: Everything You Need to Know About Pandas
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: Exploring the Best Book Sellers Dataset
Participated in DataHour: Demystifying RCNN Family for Object Detection
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: Implementing a Neural Network using Pytorch
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: An Introduction to Google Vision API
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Understanding Stable Diffusion & Prompt Engineering
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
Participated in Data Science Blogathon - 29
Participated in DataHour: No-code ML Hands-on using Orange Data Mining Tool
Participated in DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
Participated in DataHour: Image Classification using Deep Learning Models
Participated in DataHour: Building Efficient Convolution Networks for Image Classification Tasks
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in DataHack Premier League 2018
Participated in Lord of the Machines: Data Science Hackathon
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in #AVdatafest PowerTool: Python for Data Science
Participated in Data Science Interview Preparation Test
Participated in #AVdatafest DATAHACK HOUR
Participated in Black Friday Sales Prediction
Participated in DataCon - Big Data Analytics Workshop | Hyderabad
Participated in #AVdatafest PowerTool: R for Data Science
Participated in #AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
Participated in Identify the Digits (MNIST)
Participated in Practice Problem: Skilltest - Machine Learning
Participated in #AVdatafest PowerTool: SQL
Participated in Practice Problem: Strategic Thinking II
Participated in Webinar: Mission 2020, The future of careers in Machine Learning
Participated in #AVdatafest Rise of the Hero: Write Your Story
Participated in Webinar: Need of Industry Exposure in learning and applying the practical aspects of Data Science
Participated in #AVdatafest Webinar: Tips For Securing Funding For Analytics Start-Up
Participated in DataFest Closing Ceremony
Participated in #AVdatafest Webinar: Role of Spark in Big Data and Analytics
Participated in Experiments with Data
Participated in #AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
Participated in #AVdatafest The Mightiest Pen : Blogging Competition
Participated in Loan Prediction
Participated in Recommendation Engine
Participated in Webinar: Securing ML Models in Production
Participated in QuantumBlack Hackathon
Participated in Live Session: Data Science Immersive Bootcamp
Participated in LTFS Data Science FinHack 2
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Healthcare Analytics II
Participated in HR Analytics
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in HackLive - Guided Community Hackathon!
Participated in HackLive 4: Guided Community Hackathon!
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in DataHour: Introduction to Data-driven Decisions
Participated in Webinar: Machine learning workflow in Julia
Participated in Football Hackathon
Participated in Data Science Blogathon 7
Participated in DataHour: Think like a Data Scientist
Participated in Identify the Sentiments
Participated in Twitter Sentiment Analysis
Participated in Data Science Blogathon - 8
Participated in Data Science Blogathon - 9
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Building smarter solutions with no expertise in machine learning
Participated in Data Science Blogathon - 18
Participated in DataHour: Efficient Implementations of Transformers
Participated in Big Mart Sales Prediction
Participated in DataHour: Introduction to Network Science
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Data to Insightful Actions with No Code AI
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
Participated in DataHour: MLOps—DevOps for Machine Learning
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: 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: Everything You Need to Know About Numpy
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: An Introduction to Central Limit Theorem
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: ML Model Interpretation and Evaluation
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: Unfolding Model Evaluation Metrics 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: Netflix Data Analysis using Python
Participated in DataHour: Exploratory Data Analysis with F#
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 DataHour: GANs Revolutionizing the World!
Participated in DataHour: HIV Analysis using ML and Flutter
Participated in DataHour: Python Data Structures
Participated in DataHour: Exploring Heart Disease Data using Python
Participated in DataHour: Evaluation Measures for Binary Classification
Participated in DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
Participated in DataHour: Building and Operationalizing an Explainable Predictive Model
Participated in DataHour: How do Algorithms Generate Recommendations?
Participated in DataHour: Classification Algorithms Evaluation Metrics
Participated in DataHour: Advanced Exploratory Data Analysis on Credit Data
Participated in DataHour: Exploring Multi-label & Multi-class Classification
Participated in DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
Participated in DataHour: Diabetes Prediction Using Survival Analysis
Participated in DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
Participated in DataHour: Analyzing Loan Application Data using Python
Participated in DataHour: Hyperparameter Optimization Demystified
Participated in DataHour: Introduction to Optimization using Genetic Algorithms
Participated in DataHour: Understanding Logistic Regression
Participated in Data Science Blogathon - 28
Participated in DataHour: Anomaly Detection in Time Series Data
Participated in DataHour: Exploring the Fundamentals of DeepMatch
Participated in DataHour: YOLO Object Detection using Python
Participated in DataHour: Real-time Machine Learning - Challenges and Solution
Participated in DataHour: Training Your First PyTorch Model
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
Participated in DataHour: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python
Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.