Assignment related to data science and python

  Hello I scarcity aid after a while the homework assignment which should be submitted by tomorrow 12 PM. Post me if you can do it after a whilein the due era.  Assignment - Based on Python  Question:  Identify all questions that you attempted in this template Q1 Textbook Theory Questions http://faculty.marshall.usc.edu/gareth-james/ISL/ 1. For each of calibre (a) through (d), designate whether we would generally anticipate the enterprise of a ductile statistical scholarship mode to be emend or worse than an inductile mode. Justify your repartee. (a) The pattern bulk n is greatly catholic, and the estimate of prophesyors p is minute. (b) The estimate of prophesyors p is greatly catholic, and the estimate of observations n is minute. (c) The interconnection incompact the prophesyors and apology is greatly non-linear. (d) The strife of the mistake conditions, i.e. σ2 = Var(), is greatly excellent 5. What are the advantages and disadvantages of a very ductile (versus a short ductile) entrance for return or species? Under what plight jurisdiction a past ductile entrance be preferred to a short ductile entrance? When jurisdiction a short ductile entrance be preferred? 6. Describe the differences incompact a parametric and a non-parametric statistical scholarship entrance. What are the advantages of a parametric entrance to return or species (as incongruous to a nonparametric entrance)? What are its disadvantages? Q2 Textbook Applied Questions – Attempt after a while Python 8. Exploratory Foundation Analysis: College foundation set: College.csv. It contains a estimate of shiftings for 777 contrariant universities and colleges in the US. Do all the exercises in Python: 8a. Read the csv rasp after a while pandas 8b.Fix the earliest row as row headers 8c. 1. fruit a numerical abstract of the shiftings in the foundation set.  2. fruit a scatterplot matrix of the earliest ten columns or shiftings of the foundation. 3. fruit side-by-side boxplots of Outstate versus Private 4. Create a new innate shifting, designated Elite, by binning the Top10perc shifting and sepaobjurgate universities into two groups based on whether or not the adaptation of students future from the top 10 % of their excellent school classes exceeds 50 % 5. Fruit some histograms after a while differing estimates of bins for a few of the inherent shiftings: Room.Board','Books', 'Personal', 'Expend' 6. Examine the upper ten schools past air-tight. Q3 Textbook Applied Questions – Attempt after a while Python 9. Exploration after a while Auto.csv foundation. Make firm that the damage appraises entertain been abstractd from the foundation. (a) Which of the prophesyors are inherent, and which are innate? (b) What is the dispose of each inherent prophesyor? (c) What is the mean and exemplar deviation of each inherent prophesyor? (d) Now abstract the 10th through 85th observations. What is the dispose, mean, and exemplar deviation of each prophesyor in the subset of the foundation that dregs? (e) Using the bountiful foundation set, question the prophesyors graphically, using scatterplots or other tools of your excellent. Create some plots excellentlighting the interconnections incompact the prophesyors. Comment on your findings. (f) Suppose that we longing to prophesy gas mileage (mpg) on the foundation of the other shiftings. Do your plots recommend that any of the other shiftings jurisdiction be serviceable in prophesying mpg? Justify your repartee. Q4 Textbook Applied Questions – Attempt after a while Python 10. Exploration after a while Boston.csv foundation a) How numerous rows and columns in the foundation set? What do the rows and columns play? (b) Make pairwise scatterplots of the prophesyors (columns) in this foundation set. Describe findings. (c) Are any of the prophesyors associated after a while per capita felony objurgate? If so, elucidate interconnection. (d) Do any of the environs of Boston show to entertain in-particular excellent felony objurgates? Tax objurgates? Pupil-teacher aspects? Comment on the dispose of each prophesyor. (e) How numerous of the environs in this foundation set jump the Charles large stream? (f) What is the median pupil-teacher aspect incompact the towns in this foundation set? (g) Which precinct of Boston has last median appraise of proprietor shackled homes? What are the appraises of the other prophesyors for that precinct, and how do those appraises parallel to the overall disposes for those prophesyors? Comment on your findings. (h) In this foundation set, how numerous of the environs mean past than seven rooms per stay? Past than view rooms per stay? Comment on the environs that mean past than view rooms per stay. Hint – various github sites entertain the total elucidation in python e.g. https://github.com/mscaudill/IntroStatLearn https://botlnec.github.io/islp/ Thanks