From 6387ccbf40b3fead4543571f1c6f8b10c4c6714f Mon Sep 17 00:00:00 2001 From: jackfrued Date: Sun, 4 Oct 2020 08:58:07 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E4=BA=86=E9=83=A8=E5=88=86?= =?UTF-8?q?=E6=96=87=E6=A1=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../71.人工智能和机器学习概述.md | 9 ++++++++- Day71-80/72.k最近邻分类.md | 17 +++++++++++++++++ Day71-80/res/scikit-learn-logo.png | Bin 0 -> 8053 bytes README.md | 2 +- 4 files changed, 26 insertions(+), 2 deletions(-) create mode 100644 Day71-80/res/scikit-learn-logo.png diff --git a/Day71-80/71.人工智能和机器学习概述.md b/Day71-80/71.人工智能和机器学习概述.md index 12ee4e5..3241f6f 100644 --- a/Day71-80/71.人工智能和机器学习概述.md +++ b/Day71-80/71.人工智能和机器学习概述.md @@ -119,5 +119,12 @@ $$ 5. 测试算法 6. 应用算法 -### +### Scikit-learn介绍 +![](res/scikit-learn-logo.png) + +Scikit-learn源于Google Summer of Code项目,由David Cournapeau在2007年发起,它提供了机器学习可能用到的工具,包括数据预处理、监督学习(分类、回归)、非监督学习(聚类)、模型选择、降维等。 + +官网地址: + +安装方法:`pip install scikit-learn` \ No newline at end of file diff --git a/Day71-80/72.k最近邻分类.md b/Day71-80/72.k最近邻分类.md index d880d22..b609070 100644 --- a/Day71-80/72.k最近邻分类.md +++ b/Day71-80/72.k最近邻分类.md @@ -20,3 +20,20 @@ k值的选择对于kNN算法的结果有非常显著的影响。下面用李航 实际应用中,$k$的取值通常都比较小,可以通过交叉检验的方式来选择较好的$k$值。 + + +### 算法优缺点 + +优点: + +1. 简单有效 +2. 重新训练代价低 +3. 适合类域交叉样本 +4. 适合大样本分类 + +缺点: + +1. 惰性学习 +2. 输出的可解释性不强 +3. 不擅长处理不均衡样本 +4. 计算量比较大 \ No newline at end of file diff --git a/Day71-80/res/scikit-learn-logo.png b/Day71-80/res/scikit-learn-logo.png new file mode 100644 index 0000000000000000000000000000000000000000..ce1e1056c66a60373cd5d9469def66e5b400690c GIT binary patch literal 8053 zcmWkz2Q(X88@8ztd#6gQh)qkh6lp1m5wT)6MvT(hO6^s%cGRXSG^o96gc@zE4*S#E zt7?{_*6+XP-0|M~-0?o|xjPP$~cgcewR}lqc|n zeVQSd)}8h~jT3nac}T>X2H(6x&|)4DsxOEO4jt2PBE}iUt zLfL_2(|a{&F-m(a3?e0i^15;QryfHnyI$E0GZdMCcbiTlF>8`6Q|zkK0;0F^Fr6Za zA~X?|_AVmobLYwK7|QN9P8aL?cV(U@JwClA;+YgDfKCjWV@)GP<86-?gEv!*pdpM7 z24V%_V`#x#M@k0=ujV+)XnDyDZQ|W5nj9MqwJiFNRHRZ0IdeFpgGKf-XiukVn9YkQ zr>!7Cu17Z70E}E?SU_dbvsWreP%)Ax*E70PzXpwC2y%5|nT!}=20_OK`d?;JoML8{ z;=dC`Ts1`6GNh`(?%&OnC0$4>)K|hkb~j@vKnf57EprRk;n1i86wyWcBX*Uf1`mZ1SW%A&nq z3wN!+n;jN+-#!2!Bk{f2X(R*?nnZ4MZGBU4>)1XufN$XGOcRheiX&A5OFx`cTPkO2O@vel%>}SrOo^^Z}Q<;pGt!85~I#$ibLGc$ZiT_LQuZ>;ruTF`uxs zlE?YPBNd>6JcTGgrmlqR+%hKGv1C99142$LqId_$Sye3(U(n4IC3DtKG0L9I^i~%Z zg~%oOCjUNu88_%Gy}djTR4e(UltME|)^k!*!N{$10c~Iy3&%1cgaYcP)T9==J03hf z(}kVSJpNC2{nN#&@cv2uNCtiA{dKsJ$xLPJ!E6x{K^@r$s{PrcVB|oF9MXhI3}6B7 z>7-a;YN4&F)Z;;?E!3$iE+9EypPj+-o`)azScLlX6E*bC6M_cDpW2{Z4{WOtaYG}L zvh>@_7#7&q?97BGEhIHm;KwFZ1g3-ilNSNGa!%vBzMo0AuYFHwYnwlMIPhkCjjN=i z^p?1z^p0p(7M_jBP@PFnwb%+yjZZ%Y-Qi?n?w!l#N7}r|NIgCii#v2TtffDNUCz9P zjaDmNiM!Sugq7dGHE2EDR(iN9#bYL`vcg%H;;>eJpo!zJnFZ2&A>00sT6U0_68nH}jfjbK0gE7;$_=eVy7k8%4o~&4 zcFICm zj?;>buR`f0GjY|_X-Hd#Q$n>)<~j6D&XL<_8$92JmDYu`r|>zZJXNJTgJZ!>ZCMsN z#9n3c+XanbPz6!a5k3HhUT)&2avQz2q)?yo&xXPSv8 z3)F4@RiRfw)Q8*UIW|%_|7WQr5iVV_t!=i%+kY}{ZN_>{#I?7>TpyR0f(2BY-QM1w zA1m54oru(^=I{>U~zPtaD!iG(LI%RvG&Tbi+!eVe)Eq}jZTDagxqTa~m^@Q8a zQz4!HCb*=M0;O_yTnL!2!rbKxvAN1m=fc&Nm{&NP4nL?pe)V+e9+#Em&mzNL#v|X3 z4#oub`_>aQBT#8&FaG=uTRi3UjXIDmJUBGF4@Y< zcC8g%vOnA}=J{fQc)_5OSGbQIb_zRijBsi01W_Lb(j9U~SK*$=ss9n{TfO;j;B}1K z6P$u?UPn%S;F;1!4N9BW_GD1GE2DFVwOkjQ^cD{qIXNF*l5@nQqT1BHF)uTXz_;Mo zql=^S#dv!abF3}xe6}{R`&_jS!Tu$3M*idLnkD6TK>;m~OY&#F(JoauZ5Ekx zSfcjD76S*IlcD;Mr};9tXHtx878>6LOBIyTnL(pJIV7s2GheJ`1UpFBzOXS9d~+eI z#9aUPGuX>rbhpJYX72G+{8niF&zq%coSjugseeut?F$+FGwRh_4b?obBc4~)6Op5Z zMV~^j7}wW>8M7R7gMKOcD$=L8F%t8V*+QNwlTCD zTmv!X84T?~_ycx^UIiOH_^OVGKwryl_0!hs^*+h>6t+_pFY4E-SlH#Y?^;4wIO6T5 z4<&PFoKO%}3I88&btP;FzHXUi?O(o}oz;sjOUsHmx{ES{cYO(sj`CC^cOJgsNO+iV znfBT$K~dSsIpp&DTMXmcrNOF7aY2uExkq{|sx1%Ca{DnGJ{=fO>oq|9)eh_Fz(pBb zQb|FF!Ny2>yEFDz|3|YZ>tMwYJzSRTrKtOC%uBc?#4kAY6uHFXKQkLIyXL2)i~4$g zGuBeM=JJ=;zly;y)UcMK?#(eTU5VW}mb57zSP6|tqzWPpV8rIoF_gK=Op2noc{E+~ z9y5!FAZ}nWl%?ncp~7xa^fbW{D@h%5xb^3?m&U!Qp&uaJ<7?d4Aq@yq?}eaJwTZPk zI9sbyuXE6{@#p;fY?}YEqQ{p|OIvyNkgr z-8bjQYjNIBDX$1CtH%@j7l4da0GP(}eWX?JaNFCm*1sFMGz3_Iw=OJZ+#dE{u0(Hf z^JecjId5-wO%vdA2>KWqVmEh$>zA?VZ?s=>MkL6BZdakL1Dc;qAT`czy(Ts0P2mb_$M=7d(l`Fm<+8VKYGDS1FcL9u&&*uE>?A**+xM5@g zwk)kB^v+tUC_0_2q|v}WSgz5(a8PEk;{53YjFn+C>p&ziXZGs#p8a>HIzF|mLCU^8 zqPG07vMhMSqy#z3dVkmIZp|*^IUG88O9M1^866wsTZ)pmhV^)$-_lZ23MeyuTxRYZ zM}f^1eje+$Z>vxKL3M?-6TVbcgfWnJZ`PFnl`dLf4WXY*XGMABQtM(IupN|x;fY(@0;Xn{z5A4t1P5ck2TWI=`L?M_<@i{qAhC%wenj7 z^Oo+6#G@?WEHIB(QvgbD{ZFmkSteZ=)@hRJO+qHqYZJMEB!L7j-p@;Q)1XbpkkH++ z-EE}IJ1-zsqoj0vlIhO7Y{w`4jRIjE)4d)A=_sn@ni>%OgVVc#TZ{zjitHV=4~%_| zhqksG#v^+_yS;++C#DJm-@gJs?%!8uk3j)GDYYv3+ay#beb7_-uY^kMi7r++k!TkB zEe*cusY^X5f8GDtJ#&_nka}lq_kN5+bOho~R}_~ z7EcLayZ@18#w|TUR+_$l*BVYx9Rt-CjNW~Z(-TiB7ldL1UA=oSOMA(aTue(Qwf1GO zQuNo}CG@MwEzbmttGmi?gQ*wUKJb$lcsFPqsr#Mlx+ zz3Sjw{nro9SGfLOi28jGv%ov&@r(9YFzzUNtac>tgeF+z>{O^t5a}50W5)ooKtOO7 z6wM9Vk0A50mXMaFI|7Dj>o(&$h8#n}=(b7H;_SVf_QZ|OzrWgN$>VfgEo(k<>6QN@ zv==dR8==%GcLX)k=y!g(_*O$`^5z_F(0eEpP7>=&j#9N*;1IiTu0ReSoABpY^)pu5 z08R&~%q&vqTaw2k3#w*s>qij&2hyB+ptpY$y?%Kg8|zEk(9()Zx&{v|wba-iQ#-pg zvMqVm9@i$XtWXYFB9DUyj^CLx&N19cY_9pIQE6(%ZY2>Fw_eH6A#rw96z<#K*3LfG zMAU)Ys-<%;Z+&T!6^jCQvke+|yytXxjV>`5`s4=Lc&>6=={74V#t*%@*3g*}iqld-eA>ZS^;cG@o@E zwHMJ4w&hkI=yyG`8# zP|cajnYg=skSnp2TU9f7hxLQ)k)%uVdX-=^>P4RWMX`0RYkuXOePDyc#37=A%Dp`5 zr3pQH~YkDU$ov(g@t2xRxiO=swRAVN=v1ti? z@Q^6~Ly~&VC&~<~USi^u!vasXZJ`cTjt?kI9)D^WcD-!DJ(viM0K5tK2c@+i|L`5p zx?)SW2LM3dQe8IjWzXBcuaX)J#>q|dVFpRc0>~fGcA--rjCms4!|4L~4}xDZTLGCZd$z*23I9;^ncvtNz%zo??vdT z86Y8ACyaSF)?X9^sMGM|m-Fn^<(g!8*g&nM^WuUH>cIE*S*v) zM=F~6$p+smN13a7941OpG@qO#s79o25=6+_{1Mb{4JeA$WPhxF0e7O(XY+acekjS$ z-!<6ESRGLjzwoFwD?TTO_w5CqRZSDa#CuBbV0}N_^`GV774!}7s*kEWk~ggV_w+p7 zI{)<H<#IDMZ%y+P?m}9*Q**rdu*tfH_5?D$Ck^%L z0Ir1I-^LA!dfE<+Cf04}x-0TO9a41F}y&EY1oih=^{Gq)=)X2_DGO$^y842EcH9G;Hd2|AN za>vmtWXuxxj3J^TY%S)0=H!rfBx;K-BD+;&@FP__13 z?(s2n^@HtfR&>1q{Ria$*^V}8w7;h9Qvd=~Rs8<&C;7pQ?m5sZ+ zZx8G5Cy)<4`o)=RMrj3Y&1N~C+%Kd>sM)*G4T*pU4dqT&&#p?#`!Z@`q-lXHra>tO zplO;@P$+8(MsF z!7-uA$yql?@~(ZpouUWvd(hNho)gQV=y|4bOz}s4+*?^rLmpugSb)_WXX=?u>`yZTS1Cuf4{AMXZ^#*b5f3t_So+hky$ z8vFK6?zqb7AnzsmzO&}E)w!iu*8Bq@E-AdrqclPHn;SS`BBL2U1KVj?rTo11QwaJg zgAoMHLC*~%jm4vCy=6MOAG!XQoln8{nd0P!;LZpmwlYePAQfq{M!R3A5W(8c+r)=* zC0nT#(fghth~vKIl&Oz^eJlSuipI^>(}`}7<2M`q=)l5B{N#~9dvoOKSP4f0_wTG6 z749rEL7C_dvPNU7y^mZ!uOtd?Qn&DQ`~_-4n61u(E=o*a$7BK+$rWNm?Q-d<2#xd; zy)cp)YsD%sk(+aEUh6R~@r*{I+)V$mqC|4zJj=6VO=*;L%|?x~PSTm0@mP#SZ=b{g zu=s-|{XH)a0oi+pf6t9_Sn1J~4^rXvCZojR5Sw@AxMT> zDZzHE)PpYtD^0^IMKP=xa5WeaOBYpzV1(b70hOK4+rhkl=t+ZbvmlrSQ(`pj6K@do zn6O{VQUt1GZxc{3W0`FGWaF+u=}ciHf5%e>@`@G=z!|xBas4{tFK9yfIJU`VqGJCo zncP+1@Z@`N#o7e?9e~H7Fd_aRGmt0;V>vb%Pr^O-D=Z!_Gqq@lifT@*Wno{-1vh0@Nqr>rei2r`+KvJFFBlFn8cPkFn^%ia1oLiyhlht7Me)%V*k( zMM7cL4DuBD_i!(d*Li|6*-$BSq;A|T^3YYUpmciY@iEjpwwj6 z$Fn_sL_>lrp6NOt#eR}U%|?`OIA#+V?j_0tQ08?U-~qNeBS<>BnxY;p5-Qc;E&D)? zp>JASY!8|oQ>OtFyxvt?8g$NiFh-Eo@IS!DWG8-PNZmorovva_#0dB*`+6lWbsEZ$jjhTqS|7i8?@&`n!mwHZ(a6K7D$PjdZosuBockI;ve8a83@Eex4dAckAD-&(Vjr%zKUT^)U&nAxqg~W zN3(_R6T6M1aN;np-385*45w&sm6Hdc3|Eanu85)1>)H}?jn@CnQpDZ_$1O3gc1F>5 zi^*|+a^j^LF(-N!-)11LqS8K#-VES{ZhPk}7*JmH2JQ;7ROsZi&{_b>P8b3JiLZRV zJbGi|=&hSx@72<(C)O%u=Om~5Oz9K#kZ2=WA^G3h+a@Xu9XEVeTo-xL5@2$Er86bl zfFFY@>}bk4n$o-5DRG}Ih{8lJ!auYWoN5TVLnB6M6aEme$CH%+XDAcit(nRPjn!95*WVow{pFs?dxB4UaSXKPh=0e5KZoEZB z2r=cG7h2+}+8&qOjR3L@%0}u6iv9EFp6XY$UYpa3SrBma^%psru9m^WY8WQ+e{^f; A2><{9 literal 0 HcmV?d00001 diff --git a/README.md b/README.md index 967336e..7233596 100644 --- a/README.md +++ b/README.md @@ -377,7 +377,7 @@ Python在以下领域都有用武之地。 #### Day80 - [推荐系统实战](./Day71-90/80.推荐系统实战.md) -### Day81~90 - 大数据分析实战 +### Day81~90 - [大数据分析实战](./Day81-90) ### Day91~100 - [团队项目开发](./Day91-100)