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DataSpoof 217 Machine Learning Projects with Python Code.pdf
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https://medium.com/coders-camp/230-machine-learning-projects-with-python-5d0c7abf8265
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How to build a website using chatgpt
To learn Data Science and Python, follow @dataspoof 🧠
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Data Engineering course
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2. Learn SQL: https://lnkd.in/efMKFkfX
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lnkd.in LinkedIn This link will take you to a page that’s not on LinkedIn 1. Master Python: https://lnkd.in/e5rCbvP8
2. Learn SQL: https://lnkd.in/efMKFkfX
3. Learn MySQL: https://lnkd.in/efk-Mi3c
4. Learn MongoDB: https://lnkd.in/eMKPWtqX
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13. Learn Azure Databricks: https://lnkd.in/eBij4akJ
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List of popular ai tools
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Generative AI timeline
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Credit- David
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What are the various time series algorithms available for forecasting
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DataSpoof pinned «Various types of test used in statistics for data science T-test: used to test whether the means of two groups are significantly different from each other. ANOVA: used to test whether the means of three or more groups are significantly different from each…»
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Various types of test used in statistics for data science
T-test: used to test whether the means of two groups are significantly different from each other.
ANOVA: used to test whether the means of three or more groups are significantly different from each other.
Chi-squared test: used to test whether two categorical variables are independent or associated with each other.
Pearson correlation test: used to test whether there is a significant linear relationship between two continuous variables.
Wilcoxon signed-rank test: used to test whether the median of two related samples is significantly different from each other.
Mann-Whitney U test: used to test whether the median of two independent samples is significantly different from each other.
Kruskal-Wallis test: used to test whether the medians of three or more independent samples are significantly different from each other.
Friedman test: used to test whether the medians of three or more related samples are significantly different from each other.
T-test: used to test whether the means of two groups are significantly different from each other.
ANOVA: used to test whether the means of three or more groups are significantly different from each other.
Chi-squared test: used to test whether two categorical variables are independent or associated with each other.
Pearson correlation test: used to test whether there is a significant linear relationship between two continuous variables.
Wilcoxon signed-rank test: used to test whether the median of two related samples is significantly different from each other.
Mann-Whitney U test: used to test whether the median of two independent samples is significantly different from each other.
Kruskal-Wallis test: used to test whether the medians of three or more independent samples are significantly different from each other.
Friedman test: used to test whether the medians of three or more related samples are significantly different from each other.