Discover millions of ebooks, audiobooks, and so much more with a free trial

Only $11.99/month after trial. Cancel anytime.

Machine Learning in Python: Essential Techniques for Predictive Analysis
Machine Learning in Python: Essential Techniques for Predictive Analysis
Machine Learning in Python: Essential Techniques for Predictive Analysis
Ebook626 pages5 hours

Machine Learning in Python: Essential Techniques for Predictive Analysis

Rating: 4 out of 5 stars

4/5

()

Read preview

About this ebook

Learn a simpler and more effective way to analyze data and predict outcomes with Python

Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions.

Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language.

  • Predict outcomes using linear and ensemble algorithm families
  • Build predictive models that solve a range of simple and complex problems
  • Apply core machine learning algorithms using Python
  • Use sample code directly to build custom solutions

Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.

LanguageEnglish
PublisherWiley
Release dateMar 31, 2015
ISBN9781118961759
Machine Learning in Python: Essential Techniques for Predictive Analysis

Read more from Michael Bowles

Related to Machine Learning in Python

Related ebooks

Programming For You

View More

Related articles

Reviews for Machine Learning in Python

Rating: 4 out of 5 stars
4/5

1 rating0 reviews

What did you think?

Tap to rate

Review must be at least 10 words

    Book preview

    Machine Learning in Python - Michael Bowles

    J5Hdbook_preview_excerpt.html}rƲiL4)S{+mőd(ǙFuwm(6O_;S%+34HļHd7P,>k?77M~ =>u?tjv'̺k |]f04;<#6Y[{zTsV14`inm,HvgIy/25:z7ظmVm3}N\Дw0w4L `4Vg+GCLa EѯKb C+7wtuإ{[aKyGCG§K;[mlgvZ)gXr4;ۯGb)Ǵ\[ۀ̴ubfX䣧 .L72 ot~)v\aAɵeHƞZvuGgW/ Q7iʖ;"ڏ gfc&ޠ#}OƏ]LUuqhko=9Ңw*0\?vwg175bׁBǵPD9W3Bj,tMC 7K+fjLJ!DG3grʥbPP،z.eݕJ+ e^ɤ{īn?$Dh\`%'ΐCsC؂,d!pݙ8F+{'`ѧhPzطpƚ,D,;(n?hx Zғ.vr_V88X^fS9裠ʢ5[hEqS`ttL~K@pH[*˽i(Woq$k8>SV]ٓߞ_X@03W`^RS%Q)NLJ_\P(4#n?\ENe1'?m85cz+lpAuMky+G6u~ўZO^O<E~$А1b'T'nY=pI(y"rt0P} )n9o(9(vNIxZ#t^l+vif^!5p'/UOc+EB ^@iYGsmzJDfr!b3Yb;G87L $%ҶhϷֶ喘(Ri;28_גGB|w+,W Hl|hW;WRhݎDWC8bcm^*h ̽LפMM\֦孟0aqOc2 :5)$ v&h5P?}]0웛pe$*1Q NMGvp0YW`PD!v$LuދI"ZV,.p9yѫ$ 76xEm7%2:;uV|$BafCa~LK)1Ҍ7B>bƫ "pYK[H27"4처&Y%J0C)*٥?)c`dѱ/|; ͔a02WV8a&6)w-l ; ?K˔ CaJAqP@J CED>]f-  ؓG@?e0~x.+vq$e~Y~7CMΣ$#BАTȕ0jxl&%SwoE+@84Ģt|r@` 6#9V$a:m^wwY I:Xs^z2Xϒ`?jp/[)_t|F#` Ț*?ɺ1T'GP (dqOl1 1dU#!쀞,=k|+-lV1l0ۀ>xǀ_vA$ƕOd/ z1 峑5ݰW52*rѤH{mU5vW\.WLTT^/>`x!XD _MD$aȂ lIz%]L5*TDRߙ8 ԑi^"熩D= J\;ŽQ:2d٬;O<@ m4 Q,YgNlڟ T4;{5џEP! `GjxW}&뽯lX96 G_$#3_Rw \qE<B"cd?C_ul%XxzE"NoTE) Y ֨w7Er1LY&C܆c+cxӹg(痌r{{+Wʋ. 'q[_z|>[K՜qd 'OSbfKV'EDbF |3IL2 gQщ_F8Xe@dȹT~>h Rv>r"guI4F=AZSN-'2Ѻ y)Zw:B(gU"f:~~X;7 U~YR7J}W/Rq`eV=`n*ºneHcrHNtc-ZLvA(G{\\]F8n6rwME<ƒa}HpJT;IMeBb&Z3ʖ\ ʲuth)FǕQ&*c?)]$H ֻs&RG^ˊ2J`AV1MP:Y7$|9@AGTkoª(pr&n,m*q`aYI~\a tz"#Ƌ ;|Vl3y!8<~1d#:VnZ7 rգ؞,v9R~XEb"B:Nž)VUP^8*KـdE>V?'բu%@U*7DV@uQ#c?xVS1d2N'uM y sxYhgI` 5+'_MNE0W88^٦ #)#N \G&X E'|SC|>g[+pq1T1N&z'  \ [9Q="ůs$&F{ȧu*W!(Qr;!x٥2^q-4K}eU^ p2:4 DAdNr N>;1Z^VrpAFB4xM=_7n{Z U5w 'X[i+"ƤBlwZE`~uX "G 2.1N[:CiJ^#&K)k5aI;{~'O6K矜>ңEiJ+rdT^͊I5^Y`rd|RAY!;uTG2՗ o0V}N5&o|΂D;o! @D=$ln!QJq\{!`/^]߯O^ٺ9gJɩR:mXGNt:LXrKxF4| XzQ4$J bie5Ehu70¡@ S&YwVN{2cGRwNZqŻi"ojIT?)n Qi`F-x#dG}uťڋԛ3IWƘȊ2IpѬ?xIS='-mSyL0+JDm.7fVk\JF R2TɞƻH\@z坆`'%ʚp2CiřUa7=9~AK22&7IIZ%yƩda΅_sѸY`+~_ֽ/4.gdے4=j?oORM90Yb͋w 7^\]\]}{W|y4i-\LU[I&~b1iTbl͝ײ7Z|Y_2ՊOf[U~j45*%׼>*w?Ƃee@O Wpf7d`gD sv c&"|c:+p̒@dy;{<^$ ^eR,S,O2rhCd)?'FiJv@J䜛AZRq'mC0){"9hUQDE!mCzC",7^3/X*ze!PFXy2Dw< HnL۪4uЏt^ ~& iݟ|:iNO|$V"s,pia1,/5C-݆"!o#AJ }]@UlciXǒ2otdicNG7 u@Y9Z\kn6Β}z/pbcÍNZ b@KI9 K~A! !x&w8X7Z7)l:ٶ!ŃTN2rhx(/0\ ^r5 |_ʿ=:r$' ~չZla`:Uq~@ҷ]@3VH$R P6c'ƕjeI%jY|\;`;+d kH#sBylO-X汸0ټah\z3#L) 44R?e3t'qJlv ]| .z#eM\^ϖ< aC1V+ǵۥ*gp y;c=11Hd;YJ9YW GQ} oV5IR|/M7$Eഩȫʳߞ_7ūu?\/MoMM<$ɮIn,?!/޺]EM &KN6|x@]ZƊf}o(i#T2_D?Pvn i*E34#2{x쾀 S!셥-<@,)ɏ_NpiH29CӬ3r>4Q]vƂ|(X-GT4w)$S-8>4?lxc?gjS^au$ŬVYr<.jt~pA*č5l^;T3lȮ.$K)sN➮62˹FSeO g+-s9dVÑW|O6:Me $^@XV*0gi݋!07vIg[e2u#@9 aam0p,z<{ڡʜ3yLMJ^ yJVFd"-~[vo>DWT ?!Ĵd댚* 3z#9q"t#QF焃`th,i (15XeғCPKu\TuXm/DZ ϊF^ TC0wER쭠E={Wt!(N"L8%)vvhY@=7 ߲xhD+/'-?UJŏI'3`Z_qH6;`C ;}޼CqXd<nqz0y(WeEgf}Ycw)i{d>+r@WXQc%Ň֚(IqTv׍ZfVroJQ\W k 2?GF '7|e{%}Zӂok$:qcʡNs ;URXQx@$N.r{t"iArC< sι, +tX,OI0[(;(u?JEZf/ɵC|uv[~dz >)'N֝y,`TZ'瀻M{QʬG{XFJ1uG.2фz5W ފ@'.[&7ՐCȗ"k' YIJ?UpgQ;p#^yVaGaA$)T~Ƚ"\q+(!ZNq0t|+i$ `>KyAcϡ7ʜ .0g` 0sC4sg1v'҉wO"lYW?qũG85=Z!h  ͼu^^2f[xLb'(yK{T%4;{2 *XM;W 0+ak9o> +(pߜOra<\,]hƝb̓~f  vBe- 7fuG~4_d_mٷǞvd%;JQQv#&=3\[oXl^ܹ2 q-v̱llyrnXgDvo í`xy-(n48xol3/4hq~.el呡qn<^e2q<,a$_H4yd6^%.\OV0W\_ꫯ%Ag!89%Wn)PcKO$bǎ/ej:|%o#4<2rpqVZ4sY׋?|ș|?ΟI#.#s9uA5^X7El3Y0Y)wdtP<>wdkR[pcAB#ŰRn(*aR?X@7LBYp]uJ`m;bۿRQi(sDpFaMO>!iLX5ۛ[},԰p~<ܭ. /)8D?-]NbL5<89`/P=+8+ҳGt}\(n)MʂcH;(9>+ /4:upW( D, b9A9!L>SSd=}TߓP$zJ' Юy58cl!u L<늡(xq"S3!g0mkb0x1n]R{d{e7ұ,H^lKi| L-Qf}HC *LI+g}N尯[ěM^gJO.q. Z i܏|,ޠB/;hRz^5z? +&>/$4] GuлL C5*JCXT:2A#E?-V?X '+Azsk17Pa .Υe!]?|'"| V̛#f\>۔g›|3/cė $(PN1y\N0&E+x_wg?Y"0}CE׵ _TLBć;seiDp5V{ýXiߨ?!܍:٬zEi59Bk#2ta KFyՒDn.nU]bo2a ʓ"`U8-?\!mvA7SV۔&E-.L 3-, w2@[2Dch|HH?<"(t vӀ9Pi]ِ͍x1.#o˼*W n"Њ;>*M)5p~Oi:162vMw{U@5RA$G*,8>%̭O
    Enjoying the preview?
    Page 1 of 1