Good day Everybody, 👋
If you wish to perceive statistics and the way it applies in Machine Studying, your wait is over! 🚀 Whether or not you’re in a rush to understand the important ideas for information science, don’t have time for lengthy movies or books, or simply need to brush up in your data, my total statistics sequence is right here for you. 📚✨
Ranging from the very fundamentals and delving into in-depth ideas, this sequence covers every little thing you could know. I’ve all the time cherished statistics as a result of it really works wonders with information, uncovering deep, significant outcomes. 🔍📊 Numbers don’t lie, so counting on them is a great technique. 💡
Beneath is the whole checklist of my statistics sequence blogs. Dive in and improve your understanding of statistics! 🧠🔢
1. “Essential Statistical Fundamentals Each Information Scientist Ought to Grasp”
Link 1 🌟 https://medium.com/ai-mind-labs/crucial-statistical-fundamentals-every-data-scientist-should-grasp-2c710fd7d6f4
2. “Unlocking Insights: Exploring Quantiles, Percentiles, 5 Quantity Abstract, Boxplot, Covariance, and Correlation”
Link 2 📈 https://medium.com/ai-mind-labs/unlocking-insights-exploring-quantiles-percentiles-five-number-summary-boxplot-covariance-802db3d66359
3. “Exploring Likelihood Distribution Capabilities: PMF, CDF, and PDF”
Link 3 🎲 https://medium.com/ai-mind-labs/exploring-probability-distribution-functions-pmf-cdf-and-pdf-5318a035266c
4. “Parametric & Non-Parametric Density Estimation”
Link 4 📊 https://medium.com/ai-mind-labs/parametric-non-parametric-density-estimation-f23faedc06ef
5. “The Energy of Regular Distribution: A Information Scientist’s Key to Happiness”
Stats — Half 5- Regular Distribution, Normal Regular Distribution, Skewness
Link 5 🔍 https://medium.com/ai-mind-labs/the-power-of-normal-distribution-a-data-scientists-key-to-happiness-b8cc3f3179b4
6. “Understanding Kurtosis: Exploring the Form of Information Distribution and Deciphering QQ Plots”
Stats Half 6- Kurtosis, QQPlot
Link 6 🤔 https://medium.com/ai-mind-labs/understanding-kurtosis-exploring-the-shape-of-data-distribution-and-interpreting-qq-plots-2d264fa2aa79
7. “Past Normality: Exploring Non-Gaussian Likelihood Distributions”
Stats half — 7 Steady chance distributions — Uniform, Log Regular, Pareto
Link 7 🔐 https://medium.com/ai-mind-labs/beyond-normality-exploring-non-gaussian-probability-distributions-c0c1f2cd78da
8. “The Energy of Information Transformation: From Uncooked to Regular”
stats half — 8 Operate Rework ( Log Rework, Reciprocal, Sq.) Energy Rework ( Field-Cox, Yoe — Jhonson)
Link 8 📏 https://medium.com/ai-mind-labs/the-power-of-data-transformation-from-raw-to-normal-a3f914be3a4d
9. “Discrete Likelihood Distributions”
Stats Half 9- Bernoulli, Binomial Distributions
Link 9 🔄 https://medium.com/ai-mind-labs/discrete-probability-distributions-bfc58d52b071
10. “Decoding the Central Restrict Theorem: Making Sense of Pattern Variability”
Stats Half 10- Central Restrict Theorem
Link 10 🧩 https://medium.com/ai-mind-labs/decoding-the-central-limit-theorem-making-sense-of-sample-variability-efacd8b1c66c
11. “Confidence Intervals Made Easy: Empowering Choice-Makers with Statistical Confidence”
Stats Half 11 — Confidence Interval ( Z distribution, Scholar’s t distribution, diploma of freedom )
Link 11 ⏰ https://medium.com/ai-mind-labs/confidence-intervals-made-simple-empowering-decision-makers-with-statistical-confidence-ad68c475bee9
12. “HYPOTHESIS TESTING”
stats sequence — Half 12 (Null, Alternate Speculation, Rejection Area, Alpha, P worth, Kind I & II Error)
Link 12 🧮 https://medium.com/ai-mind-labs/hypothesis-testing-23dc25b4e6c1
13. “P- VALUE”
stats sequence — Half 13 (P worth, interpretation with alpha)
Link 13 📜 https://medium.com/ai-mind-labs/p-value-6ce933067276
14. “T-Take a look at Necessities: Understanding One-Pattern, Unbiased Two-Pattern, and Paired Take a look at Methodologies”
Link 14 🤖 https://medium.com/ai-mind-labs/t-test-essentials-understanding-one-sample-independent-two-sample-and-paired-test-methodologies-5dbbecd319b5
15. “Depth Theoretical idea explains to know the Chi-Sq. Take a look at”
stats sequence — Half 15 ( Chi-Sq. Take a look at)
Link 15 🚀 https://medium.com/ai-mind-labs/depth-theoretical-concept-explains-to-understand-the-chi-square-test-1353e2d8b6a0
16. “ANNOVA”
- that is work in progress 🙂