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Statistics Day 3: Understanding P-Value — The Heart of Hypothesis Testing
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Statistics Day 3: Understanding P-Value — The Heart of Hypothesis Testing

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3 min read
Statistics Day 2: Correlation Isn’t Causation — Here’s Why It Matters!
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Statistics Day 2: Correlation Isn’t Causation — Here’s Why It Matters!

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4 min read
Statistics Day 4: Z-Score vs Min-Max Normalization — Making Data Fair for ML Models
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Statistics Day 4: Z-Score vs Min-Max Normalization — Making Data Fair for ML Models

5
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3 min read
Everything You Think You Know About Coin Flips is Wrong (and I have the data to prove it)

Everything You Think You Know About Coin Flips is Wrong (and I have the data to prove it)

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2 min read
ANOVA
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ANOVA

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2 min read
PARAMETRIC AND NON-PARAMETRIC TESTS
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PARAMETRIC AND NON-PARAMETRIC TESTS

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1 min read
Practical Guide to Imputing Missing Values in Data Science
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Practical Guide to Imputing Missing Values in Data Science

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2 min read
When You Don’t Need AI - Just Maths & Statistics
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When You Don’t Need AI - Just Maths & Statistics

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6 min read
🎾 Tennis Analytics in R: Exploring Match Statistics with Data
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🎾 Tennis Analytics in R: Exploring Match Statistics with Data

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3 min read
Unlock AI Power with Weak Signals: Learning from Positive Groups by Arvind Sundararajan

Unlock AI Power with Weak Signals: Learning from Positive Groups by Arvind Sundararajan

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2 min read
Taming the Data Desert: Extracting Gold from Scarce Positive Signals by Arvind Sundararajan

Taming the Data Desert: Extracting Gold from Scarce Positive Signals by Arvind Sundararajan

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2 min read
Understanding Skewness and Kurtosis: A Friendly Guide for Data Enthusiasts
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Understanding Skewness and Kurtosis: A Friendly Guide for Data Enthusiasts

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1 min read
Degrees of Freedom and their role in Statistics
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Degrees of Freedom and their role in Statistics

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1 min read
Turning Two Lists into a Dictionary
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Turning Two Lists into a Dictionary

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1 min read
Essay on Type I and Type II Errors in a Medical Scenario

Essay on Type I and Type II Errors in a Medical Scenario

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3 min read
⚖️ Choosing Between Type I and Type II Errors
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⚖️ Choosing Between Type I and Type II Errors

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3 min read
Way to Avoid the Pitfall of Cherry-Picking Data
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Way to Avoid the Pitfall of Cherry-Picking Data

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4 min read
Measures of Central Tendency in Data Science

Measures of Central Tendency in Data Science

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1 min read
📊 Understanding Measures of Central Tendency and Their Importance in Data Science
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📊 Understanding Measures of Central Tendency and Their Importance in Data Science

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3 min read
Transforming Data with Logs: From Chaos to Clarity
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Transforming Data with Logs: From Chaos to Clarity

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2 min read
Type i and Type ii errors

Type i and Type ii errors

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2 min read
Predicting Champions League Winner Using Python

Predicting Champions League Winner Using Python

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2 min read
Calculating win probabilities of the EPL.

Calculating win probabilities of the EPL.

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2 min read
Understanding Measures of Central Tendency in Data Science
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Understanding Measures of Central Tendency in Data Science

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2 min read
Mean, Median and Mode in Statistics

Mean, Median and Mode in Statistics

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2 min read
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