{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":636950318,"defaultBranch":"main","name":"Statistics_descriptive_inferential","ownerLogin":"sunilzambre","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2023-05-06T04:00:48.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/122674886?v=4","public":true,"private":false,"isOrgOwned":false},"refInfo":{"name":"","listCacheKey":"v0:1692076843.0","currentOid":""},"activityList":{"items":[{"before":"9ac631f5fdebc5488d22a784d6a39ec6c5ed0c2c","after":"0d62c96ab37b868cd2afbb2e4ea9831c524df023","ref":"refs/heads/main","pushedAt":"2024-01-06T06:31:20.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"a424471ae179ff111b35dc80951ceb17ead0a05b","after":"9ac631f5fdebc5488d22a784d6a39ec6c5ed0c2c","ref":"refs/heads/main","pushedAt":"2023-08-15T05:20:42.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Isolation Forest","shortMessageHtmlLink":"Isolation Forest"}},{"before":"f9ea3a2284626290277a259840a03da7f3b3c2d3","after":"a424471ae179ff111b35dc80951ceb17ead0a05b","ref":"refs/heads/main","pushedAt":"2023-08-15T05:18:15.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Anomaly detection","shortMessageHtmlLink":"Anomaly detection"}},{"before":"a3c70e867039ef6ee9eb8dc368ee3eaa342f8f67","after":"f9ea3a2284626290277a259840a03da7f3b3c2d3","ref":"refs/heads/main","pushedAt":"2023-08-13T06:47:55.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Chi Square Test","shortMessageHtmlLink":"Chi Square Test"}},{"before":"a468760d473ab1fa5aad5f76682d15f71386afe6","after":"a3c70e867039ef6ee9eb8dc368ee3eaa342f8f67","ref":"refs/heads/main","pushedAt":"2023-07-04T15:21:38.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Chi-Square test","shortMessageHtmlLink":"Chi-Square test"}},{"before":"ccb74f24aecc46315dbdee42be7016bce7066b08","after":"a468760d473ab1fa5aad5f76682d15f71386afe6","ref":"refs/heads/main","pushedAt":"2023-05-23T04:14:03.468Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Statistics Basic For Machine Learning\n\nThe basic statistical concepts used in machine learning. \r\nA good understanding of these concepts will help you build and evaluate models effectively.","shortMessageHtmlLink":"Statistics Basic For Machine Learning"}},{"before":"dc4529601d1ea217786685b8528983a565b300bd","after":"ccb74f24aecc46315dbdee42be7016bce7066b08","ref":"refs/heads/main","pushedAt":"2023-05-21T06:13:17.626Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Descriptive Statistics implementation\n\nDescriptive statistics summarize and describe the main features of a dataset, providing key insights into its central tendency and dispersion.","shortMessageHtmlLink":"Descriptive Statistics implementation"}},{"before":"57a585d584e4b9a7ebf6b9a97304dd6bf5938cff","after":"dc4529601d1ea217786685b8528983a565b300bd","ref":"refs/heads/main","pushedAt":"2023-05-13T10:42:46.201Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Statistics Assignment-3","shortMessageHtmlLink":"Statistics Assignment-3"}},{"before":"91cd3c9dfe1d312a051551e9c4433e140c9f3dbd","after":"57a585d584e4b9a7ebf6b9a97304dd6bf5938cff","ref":"refs/heads/main","pushedAt":"2023-05-13T09:12:23.911Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Statistics Assignment","shortMessageHtmlLink":"Statistics Assignment"}},{"before":"10b8c83ceb8119a4865d426ab50872fed1e351d8","after":"91cd3c9dfe1d312a051551e9c4433e140c9f3dbd","ref":"refs/heads/main","pushedAt":"2023-05-13T09:10:55.628Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Distribution in stats\n\nNormal distribution and uniform distribution are two commonly used probability distributions in statistics. \r\nA normal distribution is a bell-shaped curve that describes a set of random variables with a mean and a standard deviation.\r\nA uniform distribution represents a set of random variables that are equally likely to occur within a given range.","shortMessageHtmlLink":"Distribution in stats"}},{"before":"f00e5c0de91c1c4e7efb2d60ee9c4595248fae71","after":"10b8c83ceb8119a4865d426ab50872fed1e351d8","ref":"refs/heads/main","pushedAt":"2023-05-12T12:21:48.130Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Mean, Median, Mode,Q1, Q2, Q3, IQR, Scatter plot, Voilin plot etc\n\nMean, median, mode, and the 5-point summary are common measures used in statistical analysis to describe a set of data. Here's what each of these terms means:\r\n1. Mean: The mean is the average value of a set of numbers. To find the mean, you add up all the numbers in the data set and divide by the total number of data points. The mean is sensitive to outliers, meaning that extreme values can have a significant impact on its value.\r\n2. Median: The median is the middle value in a data set when the values are ordered from smallest to largest (or vice versa). If there is an even number of data points, the median is the average of the two middle values. Unlike the mean, the median is not affected by extreme values.\r\n3. Mode: The mode is the most frequently occurring value in a data set. A data set can have one or more modes, or no mode at all if all values are equally frequent.\r\n4. 5-point summary: The 5-point summary is a set of descriptive statistics that includes the minimum value, the maximum value, the median (or Q2), and the quartiles Q1 (the value below which 25% of the data falls) and Q3 (the value below which 75% of the data falls). The 5-point summary is useful for quickly summarizing the distribution of a set of data.","shortMessageHtmlLink":"Mean, Median, Mode,Q1, Q2, Q3, IQR, Scatter plot, Voilin plot etc"}},{"before":"8646c0db509c0b25b566b30b6c4c9ca672f0885c","after":"f00e5c0de91c1c4e7efb2d60ee9c4595248fae71","ref":"refs/heads/main","pushedAt":"2023-05-10T04:18:22.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Basic Statistics concept pdf file\n\nStatistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. \r\nIt involves methods and techniques for gathering, processing, and summarizing numerical information, and using that information to make decisions, draw conclusions, and make predictions. \r\n\r\nStatistics can be broadly divided into two categories:\r\n1. Descriptive statistics: Descriptive statistics involves the collection, organization, and presentation of data in order to describe its properties, such as central tendency, variability, and distribution. This can be done using measures such as mean, median, mode, standard deviation, and frequency distributions.\r\n\r\n2. Inferential statistics: Inferential statistics involves using the information obtained from a sample to make inferences about a larger population. This includes hypothesis testing, confidence intervals, and regression analysis, among other methods.\r\n\r\nStatistics is used in a wide range of fields, including business, medicine, engineering, social sciences, and natural sciences, among others. It helps researchers and decision-makers to understand and analyze complex data, make informed decisions, and draw reliable conclusions.","shortMessageHtmlLink":"Basic Statistics concept pdf file"}},{"before":"58dd1b4c1ee4debea1ba3a0cd1d499d0e1cbcef4","after":"8646c0db509c0b25b566b30b6c4c9ca672f0885c","ref":"refs/heads/main","pushedAt":"2023-05-07T11:07:49.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Practice problem","shortMessageHtmlLink":"Practice problem"}},{"before":"b573f484115adf1943fe8ab9992d5f92f255316d","after":"58dd1b4c1ee4debea1ba3a0cd1d499d0e1cbcef4","ref":"refs/heads/main","pushedAt":"2023-05-07T11:03:27.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Basic statistics implementation","shortMessageHtmlLink":"Basic statistics implementation"}},{"before":null,"after":"b573f484115adf1943fe8ab9992d5f92f255316d","ref":"refs/heads/main","pushedAt":"2023-05-06T04:00:48.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"sunilzambre","name":"Sunil S Zambre","path":"/sunilzambre","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/122674886?s=80&v=4"},"commit":{"message":"Initial commit","shortMessageHtmlLink":"Initial commit"}}],"hasNextPage":false,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"Y3Vyc29yOnYyOpK7MjAyNC0wMS0wNlQwNjozMToyMC4wMDAwMDBazwAAAAPZFUxG","startCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wMS0wNlQwNjozMToyMC4wMDAwMDBazwAAAAPZFUxG","endCursor":"Y3Vyc29yOnYyOpK7MjAyMy0wNS0wNlQwNDowMDo0OC4wMDAwMDBazwAAAAMnOKyX"}},"title":"Activity ยท sunilzambre/Statistics_descriptive_inferential"}