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陦ｨ2 莠碁｡ｹ騾ｻ霎大屓蠖堤噪譬ｷ譛ｬ謨ｰ謐ｮ
莠碁｡ｹ騾ｻ霎大屓蠖�
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隶ｩ謌台ｻｬ騾夊ｿ�ｸ�荳ｪ萓句ｭ先擂逅�ｧ｣縲ょ∞隶ｾ蝨ｨ雜ｳ逅�ｸｭ�悟ｰ�ｽ夂帥霓ｬ謐｢荳ｺ霑帷帥逧��蜉帛叙蜀ｳ莠主ｰ�葎閠�噪扈�ｹ�蟆乗慮謨ｰ縲よ�莉ｬ蜿ｯ莉･逕ｨ1陦ｨ遉ｺ謌仙粥鄂夂帥�檎畑0陦ｨ遉ｺ譛ｪ謌仙粥鄂夂帥縲よ焚謐ｮ螯ゆｸ具ｼ�
陦ｨ2 莠碁｡ｹ騾ｻ霎大屓蠖堤噪譬ｷ譛ｬ謨ｰ謐ｮ
莠碁｡ｹ騾ｻ霎大屓蠖呈ｨ｡蝙句ｰ��ｹ謐ｮ扈�ｹ�蟆乗慮謨ｰ霎灘�謌仙粥鄂夂帥逧�ｦら紫縲る�ｻ霎大屓蠖剃ｽｿ逕ｨ騾ｻ霎大�謨ｰ譚･蟒ｺ讓｡蜈ｳ邉ｻ縲る�ｻ霎大�謨ｰ蜈∬ｮｸ蟆��邉ｻ蟒ｺ讓｡荳ｺ讎ら紫�悟屏荳ｺ螳�噪蛟ｼ蝨ｨ0蜥�1荵矩龍縲ょ�陦ｨ遉ｺ螯ゆｸ具ｼ�
[4]
ﾎｲ1 逧�ｭ｣蛟ｼ�郁ｴ溷�ｼ�芽｡ｨ遉ｺ蠖� X 蠅槫刈譌ｶ Y=1 逧�ｦら紫蠅槫刈�亥㍼蟆托ｼ峨�る�ｻ霎大屓蠖呈弍蟷ｿ豕帑ｽｿ逕ｨ逧�ｱｻ蛻ｫ鬚�ｵ区ｨ｡蝙倶ｹ倶ｸ�縲ょ､夐｡ｹ蠑城�ｻ霎大屓蠖貞ｰ�ｺ悟�邀ｻ讓｡蝙区黄螻募芦螟�炊豸牙所螟壻ｸｪ邀ｻ蛻ｫ逧�琉鬚倥�ゆｾ句ｦゑｼ御ｸ�荳ｪ莠ｺ譏ｯ蜷ｦ莨壼�謐｢莨俶Β蛻ｸ A縲∽ｼ俶Β蛻ｸ B 謌紋ｼ俶Β蛻ｸ C縲ら鴫蝨ｨ謌台ｻｬ蟆�惠 R 荳ｭ螳樒鴫騾ｻ霎大屓蠖呈ｨ｡蝙九�よ�ｷ譛ｬ謨ｰ謐ｮ蛹�峡荳､荳ｪ蜿倬㍼窶披�皮せ逅��蜉�/螟ｱ雍･陦ｨ遉ｺ荳ｺ 1/0 蜥檎ｻ�ｹ�蟆乗慮縲りｯｷ轤ｹ蜃ｻ霑咎㈹荳玖ｽｽ縲３ 莉｣遐∝ｦゆｸ具ｼ�
## Prepare scatter plot
#Read data from .csv file
data1 = read.csv("Penalty.csv", header = T)
head(data1)
#Scatter Plot
plot(data1, main = "Scatter Plot")蝗ｾ 4 邀ｻ蛻ｫ謨ｰ謐ｮ逧�淵轤ｹ蝗ｾ
謌台ｻｬ蜿ｯ莉･隗ょｯ溷芦�悟屏蜿倬㍼莉��蜿紋ｸ､荳ｪ蛟ｼ窶披��1蜥�0縲ょｽ鍋ｻ�ｹ�譌ｶ髣ｴ蠅槫刈譌ｶ�檎自螳ｶ逧�譜邇�ｹ滓署鬮倥�ら鴫蝨ｨ謌台ｻｬ蟆�ｽｿ逕ｨ騾ｻ霎大屓蠖貞㊥螟�ｸ�荳ｪ讓｡蝙区擂鬚�ｵ句渕莠守ｻ�ｹ�譌ｶ髣ｴ逧��蜉滓�螟ｱ雍･逧�ｦら紫縲３ 莉｣遐∝ｦゆｸ具ｼ�
## Fitting Logistic regression model
fit = glm(Outcome ~ Practice, family = binomial(link = "logit"), data = data1)
#Plot probabilities
plot(data1, main ="Scatter Plot")
curve(predict(fit,data.frame(Practice = x), type = "resp"), add = TRUE)ﾂ�
points(data1$Practice,fitted(fit),pch=20)蝗ｾ 5 譏ｾ遉ｺ莠�ｻ朱�ｻ霎大屓蠖剃ｸｭ闔ｷ蠕礼噪讎ら紫蛟ｼ縲よ�莉ｬ蜿ｯ莉･逵句芦讓｡蝙玖｡ｨ邇ｰ濶ｯ螂ｽ縲る囂逹�扈�ｹ�譌ｶ髣ｴ逧�｢槫刈�梧�蜉溽噪讎ら紫荵溷｢槫刈縲りｯ･讓｡蝙句惠譁ｹ遞� [5] 荳ｭ陦ｨ遉ｺ縲ょ庄莉･騾夊ｿ�薯蜈･扈�ｹ�蟆乗慮謨ｰ譚･闔ｷ蠕玲ｦら紫蛟ｼ縲�
[5]
蝗ｾ 5 菴ｿ逕ｨ騾ｻ霎大屓蠖堤噪讎ら紫蝗ｾ
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蝨ｨ霑咏ｯ�枚遶�荳ｭ�梧�莉ｬ蟄ｦ荵�莠�ｹｿ荵臥ｺｿ諤ｧ讓｡蝙具ｼ�LM�峨�らｮ�蜊慕ｺｿ諤ｧ蝗槫ｽ呈弍 GLM 逧�怙蝓ｺ譛ｬ蠖｢蠑上��LM 逧�ｫ倡ｺｧ蠖｢蠑乗怏蜉ｩ莠惹ｻ･邂�蜊慕噪譁ｹ蠑丞､�炊髱樊ｭ｣諤∝�蟶�柱髱樒ｺｿ諤ｧ蜈ｳ邉ｻ縲よ�莉ｬ驥咲せ莉狗ｻ堺ｺ�ｯｹ謨ｰ郤ｿ諤ｧ蝗槫ｽ貞柱莠悟�騾ｻ霎大屓蠖偵�ょｽ灘屏蜿倬㍼荳手�蜿倬㍼荵矩龍逧��邉ｻ譏ｯ髱樒ｺｿ諤ｧ譌ｶ�悟ｯｹ謨ｰ郤ｿ諤ｧ蝗槫ｽ帝撼蟶ｸ譛臥畑縲ょｽ灘屏蜿倬㍼驕ｵ蠕ｪ蟇ｹ謨ｰ豁｣諤∝�蟶��豕頑收蛻�ｸ�慮�悟ｮ�ｹ滓署萓帑ｺ�ｿｫ騾溽噪隗｣蜀ｳ譁ｹ譯医��
豁､螟厄ｼ梧�莉ｬ隶ｨ隶ｺ莠�ｺ悟�騾ｻ霎大屓蠖堤噪蝓ｺ譛ｬ讎ょｿｵ縲ょｽ灘屏蜿倬㍼驕ｵ蠕ｪ莨ｯ蜉ｪ蛻ｩ蛻�ｸ�ｼ悟叉蜿ｪ閭ｽ蜿� 0 蜥� 1 逧��ｼ譌ｶ�御ｺ悟�騾ｻ霎大屓蠖帝撼蟶ｸ譛臥畑縲よ�莉ｬ霑俶署萓帑ｺ�推遘榊ｯｹ謨ｰ蜿俶困逧�婿遞句柱隗｣驥奇ｼ瑚ｿ吩ｺ帛序謐｢荳主屓蠖呈ｨ｡蝙倶ｸ�襍ｷ菴ｿ逕ｨ縲�
髯､莠�炊隶ｺ隗｣驥奇ｼ梧�莉ｬ霑伜�莠ｫ莠� R 莉｣遐�ｼ御ｻ･萓ｿ菴�蜿ｯ莉･蝨ｨ R 荳ｭ螳樒鴫隸･讓｡蝙九�ゆｸｺ莠�峩螂ｽ蝨ｰ逅�ｧ｣�梧�莉ｬ螻慕､ｺ莠�ｻ捺棡蜥御ｻ｣遐√��
謌台ｻｬ蟶梧悍菴�隗牙ｾ苓ｿ咏ｯ�枚遶�譛臥畑縲�
**譛ｬ譁�ｸｭ菴ｿ逕ｨ逧�ｮ梧紛莉｣遐∬ｯｷ轤ｹ蜃ｻ霑咎㈹**縲�
荳ｪ莠ｺ邂�莉�: Chaitanya Sagar 譏ｯ Perceptive Analytics 逧��蟋倶ｺｺ蜈ｼ鬥門ｸｭ謇ｧ陦悟ｮ倥�１erceptive Analytics 陲ｫ縲晦nalytics India Magazine縲玖ｯ��我ｸｺ蛟ｼ蠕怜�豕ｨ逧�香螟ｧ蛻�梵蜈ｬ蜿ｸ荵倶ｸ�縲りｯ･蜈ｬ蜿ｸ閾ｴ蜉帑ｺ惹ｸｺ逕ｵ蟄仙膚蜉｡縲�峺蜚ｮ蜥悟宛闕ｯ蜈ｬ蜿ｸ謠蝉ｾ帛ｸょ惻蛻�梵譛榊苅縲�
逶ｸ蜈ｳ蜀�ｮｹ:
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[R 蜥� dplyr 逧�ｸ倶ｸ�莉｣謨ｰ謐ｮ謫堺ｽ彎(/2017/08/next-generation-data-manipulation-dplyr.html)
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[蟄ｦ荵�譛ｺ蝎ｨ蟄ｦ荵�逧�ｺｿ諤ｧ莉｣謨ｰ逧�3荳ｪ蜈崎ｴｹ襍�ｺ疹(https://www.kdnuggets.com/2022/03/top-3-free-resources-learn-linear-algebra-machine-learning.html)
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[莠�ｧ｣螟ｧ蝙玖ｯｭ險�讓｡蝙犠(https://www.kdnuggets.com/2023/03/learn-large-language-models.html)
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[豈碑ｾ�ｺｿ諤ｧ蝗槫ｽ剃ｸ朱�ｻ霎大屓蠖綻(https://www.kdnuggets.com/2022/11/comparing-linear-logistic-regression.html)
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[郤ｿ諤ｧ蝗槫ｽ剃ｸ朱�ｻ霎大屓蠖抵ｼ夂ｮ�譏手ｧ｣驥馨(https://www.kdnuggets.com/2022/03/linear-logistic-regression-succinct-explanation.html) 鴫蝨ｨ謌台ｻｬ蟆�爾隶ｨ蟇ｹ謨ｰ郤ｿ諤ｧ讓｡蝙狗噪隗｣驥翫��log(a) 譏ｯ蟶ｸ謨ｰ鬘ｹ��log(b) 譏ｯ Y 髫� X 蜊穂ｽ榊序蛹冶�悟｢樣柄逧�｢樣柄邇���log(b) 逧�ｴ溷�ｼ陦ｨ譏� Y 莨壼屏荳ｺ X 逧�黒菴榊｢槫刈閠御ｻ･荳�螳夂卆蛻�ｯ泌㍼蟆代�よ磁荳区擂�梧�莉ｬ蟆�ｽｿ逕ｨ蜿ｯ蜿｣蜿ｯ荵宣楳蜚ｮ謨ｰ謐ｮ蝨ｨ R 荳ｭ螳樒鴫隸･讓｡蝙九�３ 莉｣遐∝ｦゆｸ九��
## Fitting Log-linear model
# Transform the dependent variable
data$LCola = log(data$Cola, base = exp(1))
#Scatter Plot
plot(LCola ~ Temperature, data ﾂ�= data , main = "Scatter Plot")
#Fit the best line in log-linear model
model1 = lm(LCola ~ Temperature, data)
abline(model1)
#Calculate RMSE
PredCola1 = predict(model1, data)
RMSE = rmse(PredCola1, data$LCola)蝗ｾ 3 蟇ｹ謨ｰ郤ｿ諤ｧ蝗槫ｽ堤ｻ吝�逧�怙菴ｳ諡溷粋郤ｿ
蝗ｾ 3 譏ｾ遉ｺ莠�ｽｿ逕ｨ蟇ｹ謨ｰ郤ｿ諤ｧ蝗槫ｽ堤噪譛�菴ｳ諡溷粋郤ｿ縲よ�莉ｬ蜿ｯ莉･蟆��隗�ｸｺ荳�荳ｪ荳､豁･霑�ｨ具ｼ悟叉蟇ｹ謨ｰ謐ｮ霑幄｡悟序謐｢�亥ｯｹ荳､霎ｹ蜿門ｯｹ謨ｰ�会ｼ檎┯蜷主ｯｹ蜿俶困蜷守噪謨ｰ謐ｮ霑幄｡檎ｮ�蜊慕ｺｿ諤ｧ蝗槫ｽ偵�りｮ｡邂怜�逧�ｨ｡蝙句ｦゆｸ具ｼ�
[3]
蜿ｯ荵宣楳蜚ｮ驥丞庄莉･騾夊ｿ�ｰ�ｸｩ蠎ｦ蛟ｼ莉｣蜈･譁ｹ遞擬3]譚･鬚�ｵ九�よ�莉ｬ隗ょｯ溷芦荳守ｮ�蜊慕ｺｿ諤ｧ蝗槫ｽ堤嶌豈費ｼ梧供蜷域譜譫懈怏莠�ｾ亥､ｧ謾ｹ蝟��ょ序謐｢蜷守噪讓｡蝙狗噪RMSE莉�ｸｺ0.24縲りｯｷ豕ｨ諢擾ｼ梧律蠢礼ｺｿ諤ｧ蝗槫ｽ剃ｹ溯ｧ｣蜀ｳ莠�庄荵宣楳蜚ｮ驥丞�邇ｰ闕定ｰｬ雍溷�ｼ逧�琉鬚倥�ょｯｹ莠惹ｻｻ菴墓ｸｩ蠎ｦ蛟ｼ�梧�莉ｬ驛ｽ荳堺ｼ壼ｾ怜芦雍溽噪蜿ｯ荵宣楳蜚ｮ驥上�らｮ�蜊慕噪蟇ｹ謨ｰ蜿俶困蟶ｮ蜉ｩ謌台ｻｬ螟�炊莠�ｿ咏ｧ崎穀隹ｬ諠��縲ょ惠荳倶ｸ�驛ｨ蛻�ｼ梧�莉ｬ蟆�ｮｨ隶ｺ蜈ｶ莉門惠蜷�ｧ肴ュ蜀ｵ荳矩撼蟶ｸ譛臥畑逧�ｯｹ謨ｰ蜿俶困縲�
1. 隹ｷ豁檎ｽ醍ｻ懷ｮ牙�隸∽ｹｦ - 蠢ｫ騾溯ｿ帛�鄂醍ｻ懷ｮ牙�閨御ｸ夂函豸ｯ縲�
2. 隹ｷ豁梧焚謐ｮ蛻�梵荳謎ｸ夊ｯ∽ｹｦ - 謠仙合菴�逧�焚謐ｮ蛻�梵閭ｽ蜉帙��
3. 隹ｷ豁栗T謾ｯ謖∽ｸ謎ｸ夊ｯ∽ｹｦ - 謾ｯ謖∽ｽ�逧�ｻ�ｻ⑩T髴�豎ゅ��
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[譛ｺ蝎ｨ蟄ｦ荵�荳ｭ蟄ｦ荵�郤ｿ諤ｧ莉｣謨ｰ逧�ｸ牙､ｧ蜈崎ｴｹ襍�ｺ疹(https://www.kdnuggets.com/2022/03/top-3-free-resources-learn-linear-algebra-machine-learning.html)
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[莠�ｧ｣螟ｧ隸ｭ險�讓｡蝙犠(https://www.kdnuggets.com/2023/03/learn-large-language-models.html)
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[豈碑ｾ�ｺｿ諤ｧ蝗槫ｽ剃ｸ朱�ｻ霎大屓蠖綻(https://www.kdnuggets.com/2022/11/comparing-linear-logistic-regression.html)
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[郤ｿ諤ｧ蝗槫ｽ剃ｸ朱�ｻ霎大屓蠖抵ｼ夂ｮ�譏手ｧ｣驥馨(https://www.kdnuggets.com/2022/03/linear-logistic-regression-succinct-explanation.html)