Farrukh Jalali

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 Farrukh Jalali

Member Since March 27, 2016, 1:21 p.m.
Location Sydney
Area of Interest SAS, SPSS, Python, Analytics

Activity

No blogs found

No Discussions found
Participated in #AVdatafest SkillPower: Machine Learning and secured rank 69
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
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 DataHour: Machine Learning Tips and Tricks
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
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: Exploring Dimensionality Reduction
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: Generating Labeled Data through Weak Supervision
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Best of Pandas & The Power of Simple Models
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: 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: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
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 Black Friday Sales Prediction
Participated in DataHour: Blockchain 101
Participated in Skilltest: Ensemble Modeling and secured rank 109
Participated in Data Science Interview Preparation Test
Participated in Click Prediction Hackathon
Participated in Skilltest: SAS
Participated in Practice Problem: Strategic Thinking II
Participated in #AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
Participated in #AVdatafest Webinar: Use of Analytics in Insurance Industry
Participated in #AVdatafest: The Strategic Thor
Participated in Big Mart Sales Prediction
Participated in Practice Problem: Skilltest - Machine Learning
Participated in #AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
Participated in #AVdatafest DATAHACK HOUR
Participated in #AVdatafest PowerTool: Python for Data Science
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Skilltest: Statistics
Participated in Skilltest: Statistics II
Participated in DataHour: Building Beautiful Apps using Flutter and its Powerful Ecosystem
Participated in Skilltest: Clustering and secured rank 98
Participated in #AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
Participated in #AVdatafest PowerTool: SQL
Participated in DataHour: Data to Insightful Actions with No Code AI
Participated in DataHour: Diving into Blockchain Development
Participated in DataHour: Voting Dapp Smart Contracts
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
Participated in DataHour: Blockchain Use Cases with Case Studies
Participated in DataHour: StableCoin - Backbone of Cryptocurrency
Participated in DataHour: ERC Tokens in Hyperledger Fabric
Participated in DataHour: All about SOLID Principles
Participated in DataHour: Everything You Need to Know About Numpy
Participated in DataHour: Overview of Blockchain and Data
Participated in DataHour: Effective Code Review 101
Participated in DataHour: An Introduction to Central Limit Theorem
Participated in DataHour: ML Model Interpretation and Evaluation
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: Netflix Data Analysis using Python
Participated in DataHour: Exploratory Data Analysis with F#
Participated in DataHour: An Introduction to the Metaverse
Participated in DataHour: NFTs - Friend or FOMO?
Participated in DataHour: Tokenomics for Beginners
Participated in DataHour: Build Apps Easily with Firebase
Participated in DataHour: Practical Hypothesis Testing
Participated in DataHour: Indeterminate String Matching
Participated in DataHour: Statistics in Data Science
Participated in DataHour: Understanding Dimensionality Reduction
Participated in Skilltest: Deep Learning and secured rank 60
Participated in DataHour: Web3 - Benefits, Adoption & Challenges
Participated in DataHour: Beginner to Pro on Powerapps using Azure
Participated in DataHour: Breakdown of Bitcoin
Participated in DataHour: Fundamentals of Blockchain and Cryptocurrencies
Participated in DataHour: HIV Analysis using ML and Flutter
Participated in DataHour: Introduction to Metaverses and the shift in Marketing Paradigms
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: Software Engineering- A Methodology for Reliable Software
Participated in DataHour: Web 3.0 - Exploring the Unexplored
Participated in DataHour: Bitcoin, Lightning Network and Adoption Trends
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 the Best Book Sellers Dataset
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
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: Ethereum Blockchain & Smart Contracts
Participated in DataHour: Emerging Careers in Blockchain, Web3, NFTs and Metaverse
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 DataHour: Anomaly Detection in Time Series Data
Participated in DataHour: Real-time Machine Learning - Challenges and Solution
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.