filmov
tv
1 - Improving Data Exploration, Discovery and Collaboration with Neo4j and Motif
Показать описание
Introducing Motif, a graph intelligence application to simplify the discovery and collaboration of connected data. Building on top of popular solutions such as Neo4j and Jupyter Notebooks, Motif aims to make graphs more accessible to both data scientist and business teams.
Timothy Lin
Co-founder, Cylynx
Timothy is the co-founder of Cylynx, which specialises in fraud detection and forensics. Recognised in Regulations Asia Awards 2020 as "One to Watch", they partner with financial institutions, blockchain companies and regulators to flag out suspicious activities. He has a wide range of experience in applied data analysis and delivered end to end graph data science consulting services for global MNCs.
Timothy Lin
Co-founder, Cylynx
Timothy is the co-founder of Cylynx, which specialises in fraud detection and forensics. Recognised in Regulations Asia Awards 2020 as "One to Watch", they partner with financial institutions, blockchain companies and regulators to flag out suspicious activities. He has a wide range of experience in applied data analysis and delivered end to end graph data science consulting services for global MNCs.
1 - Improving Data Exploration, Discovery and Collaboration with Neo4j and Motif
How to Do Data Exploration (step-by-step tutorial on real-life dataset)
Exploratory Data Analysis
Data Exploration 1
Five Step Process for Data Exploration
Data Analytics vs Data Science
Data Exploration and Cleaning in Python
Data science tips & tricks: How to use visualizations for data exploration
Data Wrangling & EDA in Data Science | AIML End-to-End Session 37
Learn Exploratory Data Analysis (EDA) from Scratch | EDA in 5 hours | Satyajit Pattnaik
LIVE CODING: Flight Data Exploration with Pandas & Python
How To Become Expertise in Exploratory Data Analysis
Be kind to yourself! Spend (less) time on Data Exploration - Willem Hendriks | PyData Eindhoven 2021
Top 5 Data Exploration techniques - Demonstrated
Prepare Data for Exploration Complete Course | Data Analytics
Science of Data Visualization | Bar, scatter plot, line, histograms, pie, box plots, bubble chart
Exploratory Data Analysis with Pandas Python
Alexandru Agachi - Introductory tutorial on data exploration and statistical models
What is Exploratory Data Analysis (EDA)? | Techcanvass
Data Exploration with Databricks
Data Science Fundamentals: Data Exploration in Python (Pandas)
🚀 Data Cleaning/Data Preprocessing Before Building a Model - A Comprehensive Guide
Complete Exploratory Data Analysis And Feature Engineering In 3 Hours| Krish Naik
Data Exploration and Clustering
Комментарии